CN115407882B - Big data analysis and arrangement system based on visualization - Google Patents
Big data analysis and arrangement system based on visualization Download PDFInfo
- Publication number
- CN115407882B CN115407882B CN202210826819.8A CN202210826819A CN115407882B CN 115407882 B CN115407882 B CN 115407882B CN 202210826819 A CN202210826819 A CN 202210826819A CN 115407882 B CN115407882 B CN 115407882B
- Authority
- CN
- China
- Prior art keywords
- module
- user
- analysis
- data
- information
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000007405 data analysis Methods 0.000 title claims abstract description 21
- 238000012800 visualization Methods 0.000 title description 3
- 238000012544 monitoring process Methods 0.000 claims abstract description 73
- 238000004458 analytical method Methods 0.000 claims abstract description 58
- 238000004364 calculation method Methods 0.000 claims abstract description 46
- 230000006854 communication Effects 0.000 claims description 56
- 238000004891 communication Methods 0.000 claims description 54
- 238000000034 method Methods 0.000 claims description 36
- 238000012545 processing Methods 0.000 claims description 9
- 238000012163 sequencing technique Methods 0.000 claims description 9
- 230000000007 visual effect Effects 0.000 claims description 6
- 238000012986 modification Methods 0.000 claims description 5
- 230000004048 modification Effects 0.000 claims description 5
- 238000012217 deletion Methods 0.000 claims description 4
- 230000037430 deletion Effects 0.000 claims description 4
- 238000010276 construction Methods 0.000 claims description 3
- 230000006698 induction Effects 0.000 claims description 3
- 230000010354 integration Effects 0.000 claims description 3
- 230000009471 action Effects 0.000 description 3
- 238000006243 chemical reaction Methods 0.000 description 2
- 238000007796 conventional method Methods 0.000 description 2
- 230000008451 emotion Effects 0.000 description 2
- 230000007246 mechanism Effects 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 238000003672 processing method Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000010415 tidying Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/02—Input arrangements using manually operated switches, e.g. using keyboards or dials
- G06F3/023—Arrangements for converting discrete items of information into a coded form, e.g. arrangements for interpreting keyboard generated codes as alphanumeric codes, operand codes or instruction codes
- G06F3/0233—Character input methods
- G06F3/0237—Character input methods using prediction or retrieval techniques
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Landscapes
- Engineering & Computer Science (AREA)
- General Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Human Computer Interaction (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a visualized big data analysis and arrangement system, which comprises a data monitoring acquisition module, an analysis and calculation module and a control and update module, wherein the data monitoring acquisition module is connected with the analysis and calculation module in a network manner, the control and update module is respectively connected with the data monitoring acquisition module and the analysis and calculation module in an electric manner, the data monitoring acquisition module is used for monitoring and acquiring related text data information, the analysis and calculation module is used for carrying out analysis and calculation on candidate word recommendation of input method software, the control and update module is used for carrying out control and update on the text data information, the data monitoring acquisition module comprises a data monitoring module, an identification and judgment module and a storage and record module, the data monitoring module is connected with the identification and judgment module in a network manner, and the storage and record module is respectively connected with the data monitoring module and the identification and judgment module in an electric manner.
Description
Technical Field
The invention relates to the technical field of big data analysis and arrangement, in particular to a visual-based big data analysis and arrangement system.
Background
After entering the mobile internet era, the communication mode of people is changed, along with popularization of smart phones, people gradually chat and communicate with family friends through mobile phone chat software to strengthen emotion communication, and input method software is software which is essential for communication and communication.
When a user uses the input method software to make out the characters to be communicated through the chat software, the input method software generally recommends candidate characters for the user to select according to the daily typing habit of the user or the conventional method such as logical sequential words which can be composed of the characters made by the user currently, so that the communication efficiency of the user is enhanced. However, the rapid development of the current short video platform can generate some hot stems at intervals, which can lead a large number of users to use the hot stems of the short video platform to promote chat pleasure or enhance emotion expression in the chat communication process with friends and family members, and the hot stems of the short video are greatly different from the daily typing habits or normal word composition logic sequence of the users, so that the input method software still can not meet the requirements of the users according to the original recommending method for recommending candidate characters to the users, even reduces the chat efficiency of the users, influences the communication experience of the users and reduces the use experience of the users on the input method software. Therefore, it is necessary to design a visual big data analysis and arrangement system for improving user communication experience and intelligent data analysis and processing.
Disclosure of Invention
The invention aims to provide a big data analysis and arrangement system based on visualization so as to solve the problems in the background technology.
In order to solve the technical problems, the visual big data analysis and arrangement system comprises a data monitoring acquisition module, an analysis and calculation module and a control updating module, wherein the data monitoring acquisition module is connected with the analysis and calculation module in a network, the control updating module is respectively and electrically connected with the data monitoring acquisition module, the analysis and calculation module and the control updating module, the data monitoring acquisition module is used for monitoring and acquiring related text data information, the analysis and calculation module is used for carrying out analysis and calculation on candidate word recommendation of input method software, and the control updating module is used for carrying out control updating on the text data information.
According to the technical scheme, the data monitoring acquisition module comprises a data monitoring module, an identification judging module and a storage recording module, the data monitoring module is connected with the identification judging module in a network mode, the storage recording module is respectively connected with the data monitoring module and the identification judging module in an electric mode, the data monitoring module is used for monitoring data information, the data monitoring module comprises a first data monitoring sub-module and a second data monitoring sub-module, the first data monitoring sub-module is electrically connected with the second data monitoring sub-module, the first data monitoring sub-module and the second data monitoring sub-module are respectively used for monitoring hot stem data information and user typing communication data information, the identification judging module is used for carrying out identification judgment on relevant status information, and the storage recording module is used for storing and recording information data.
According to the technical scheme, the analysis and calculation module comprises an analysis and matching module, a counting unit, a heat degree module and a possibility calculation module, wherein the analysis and matching module is electrically connected with the counting unit, the possibility calculation module is electrically connected with the matching module and the counting unit respectively, the analysis and matching module is used for analyzing and matching typing information of a user, the counting unit is used for counting the same word number, the heat degree module is used for processing and analyzing the heat degree of hot stems of a short video platform, and the possibility calculation module is used for carrying out calculation and analysis on the possibility that candidate words of input method software are recommended.
According to the technical scheme, the control updating module comprises a word ordering module, a control display module and a control switching module, wherein the word ordering module is electrically connected with the control display module, the word ordering module is used for ordering candidate word recommendation of input method software, the control display module is used for controlling recommendation display of candidate words, and the control switching module is used for controlling switching of recommendation modes of the candidate words.
According to the technical scheme, the operation method of the big data analysis and arrangement system mainly comprises the following steps:
Step S1, an information database is established, and software information of a user using an input method and hot stem information of a short video platform are stored;
S2, analyzing the communication condition of the user using the input method to determine the communication environment;
step S3, according to the result and the induction integration analysis of the short video platform hot stem information, calculating the possibility of the user to express the characters by using the input method;
and S4, further switching the recommendation method of the candidate characters of the input method in real time according to the calculation result, and meeting the communication requirements of users.
According to the above technical solution, the step S2 further includes the following steps:
S21, enabling a data monitoring sub-module to collect and sort the network hot stem data information of the short video platform in the month by using the input method software through a big data analysis and sorting system, and further converting and sorting the data information into text information to be stored and recorded through a storage and recording module;
s22, when a user clicks an input box through chat software to enable the input method software to conduct typing chat, the input method software further conducts recognition analysis on chat record data information between the user and the user who is ready to communicate through a second data monitoring sub-module, and therefore communication environment atmosphere is determined;
Step S23, when the frequency of all network hot stems stored and recorded in the chat record data information occurrence information database is less than a threshold value R, the identification judging module judges that the communication environment atmosphere between the user and the user in preparation for communication is serious environment atmosphere, so that when the user performs communication with typing, the control switching module controls the recommendation method of the input method software for candidate words to be normal recommendation, and when the frequency of all network hot stems stored and recorded in the chat record data information occurrence information database is greater than or equal to the threshold value R, the occurrence frequency value of the network hot stems is counted to be X, and then the further processing is waited;
step S24, after the occurrence frequency value of the network hot stems is obtained to be X, the recognition and judgment module further detects the typing state of the user, when the real-time average typing time of the user exceeds the historical average typing time or the standard condition of repeated deletion and modification appears, the recognition and judgment module judges that the communication environment atmosphere between the user and the user in preparation for communication is serious environment atmosphere, and otherwise, the communication environment atmosphere is easy environment atmosphere.
According to the above technical solution, the step S3 further includes the following steps:
step S31, after the storage recording result of the step S21 is obtained, a hot stem bar graph is established according to the storage recording result after the hot stem is marked with a numerical sequence from large to small according to the hot value, the abscissa is the corresponding sequential mark of each hot stem, the ordinate is the hot value, and hot value data of the hot stem are represented in the bar graph to complete bar graph construction;
Step S32, after receiving the identification judgment result that the communication environment atmosphere in the step S24 is the relaxed environment atmosphere, an analysis matching module identifies the typing content of the user currently through an input method and matches the typing content with the storage recording result in the step S21, and when the identification matches the characters with the same current typing content of the user and the storage recording result in the step S21, and the same number of characters obtained through a counting unit exceeds a word number threshold Z, the same number of characters is obtained at the same time, and the value of the number of characters is W;
And step S33, calculating the possibility that the current typewriting content of the user is the popular stem is N through a possibility calculation module according to the data result.
According to the above technical solution, in step S33, the calculation formula of the possibility N that the current typing content of the user is the hot stem is as follows:
N=KX+W
wherein N is the probability value that the current typing content of the user is the hot stem, K is the probability conversion coefficient, K is a constant greater than zero, X is the frequency of all network hot stems stored and recorded in the chat record data information occurrence information database between the user and the user who is ready to communicate, and W is the number of words with the same current typing content of the user as the recorded result stored in step S21.
According to the above technical solution, the step S4 further includes the following steps:
Step S41, when the calculated result exceeds 60%, the electric signal starts the control switching module to control the recommendation method of the input method software on the candidate words to be carried out together with the hot stem recommendation, and then a word ordering module is further started;
Step S42, the word sequencing module takes the hot stem word information stored and recorded in the step S21 as a first selection recommendation sequence of the candidate word of the input method software, and normally recommends word information to be recommended as a second selection recommendation sequence of the candidate word of the input method software;
And S43, controlling input method software to conduct sequencing recommendation of candidate words according to the selected recommendation sequence through a control display module according to the sequencing result.
Compared with the prior art, the invention has the beneficial effects that the data monitoring acquisition module, the analysis calculation module and the control updating module are arranged, so that the hot stem information data can be converted and tidied into the text information for storage, the recognition and analysis of the hot stem information by the system are more convenient and simpler, the analysis processing efficiency of the system is improved, the calculation capacity of the system is saved, reliable reference basis is provided for the recognition and analysis of the software candidate words of the subsequent input method, the accuracy of the system data analysis and tidying is indirectly improved, moreover, the APP with the communication chat function can be set as chat software needing to be analyzed and processed according to personal will, the chat typing requirement of the user can be met to the greatest extent, the communication environment atmosphere is further determined through the analysis of chat records between the user and the user who is ready to communicate with, the communication environment is provided for the analysis of the communication, the system adopts a corresponding processing method according to different recognition and judgment results, the analysis service of the system is more intelligent and efficient, the efficiency of the communication of the user in the communication process is indirectly improved, the satisfaction degree of the input method software is improved, the user experience of the user is improved, the user is further satisfied, and the recognition and judgment mechanism of the recognition and the system is more satisfied.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
FIG. 1 is a schematic diagram of the system module composition of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the visual big data analysis and arrangement system provided by the invention comprises a data monitoring acquisition module, an analysis and calculation module and a control updating module, wherein the data monitoring acquisition module is connected with the analysis and calculation module in a network manner, the control updating module is respectively and electrically connected with the data monitoring acquisition module, the analysis and calculation module and the control updating module, the data monitoring acquisition module is used for monitoring and acquiring related text data information, the analysis and calculation module is used for analyzing and calculating candidate word recommendation of input method software, and the control updating module is used for controlling and updating the text data information.
The data monitoring acquisition module comprises a data monitoring module, an identification judgment module and a storage record module, wherein the data monitoring module is connected with the identification judgment module in a network manner, the storage record module is respectively and electrically connected with the data monitoring module and the identification judgment module, the data monitoring module is used for monitoring data information, the data monitoring module comprises a first data monitoring sub-module and a second data monitoring sub-module, the first data monitoring sub-module is electrically connected with the second data monitoring sub-module, the first data monitoring sub-module and the second data monitoring sub-module are respectively used for monitoring hot stem data information and user typing communication exchange data information, the identification judgment module is used for carrying out identification judgment on relevant status information, and the storage record module is used for carrying out storage record on information data.
The analysis and calculation module comprises an analysis and matching module, a counting unit, a heat degree module and a possibility calculation module, wherein the analysis and matching module is electrically connected with the counting unit, the possibility calculation module is electrically connected with the matching module and the counting unit respectively, the analysis and matching module is used for analyzing and matching typing information of a user, the counting unit is used for counting the same word number, the heat degree module is used for processing and analyzing the heat degree of the hot stems of the short video platform, and the possibility calculation module is used for carrying out calculation and analysis on the possibility that candidate words of input method software are recommended.
The control updating module comprises a word ordering module, a control display module and a control switching module, wherein the word ordering module is electrically connected with the control display module, the word ordering module is used for ordering the candidate word recommendation of the input method software, the control display module is used for controlling the recommendation display of the candidate word, and the control switching module is used for controlling and switching the recommendation mode of the candidate word.
The operation method of the big data analysis and arrangement system mainly comprises the following steps:
Step S1, an information database is established, and software information of a user using an input method and hot stem information of a short video platform are stored;
S2, analyzing the communication condition of the user using the input method to determine the communication environment;
step S3, according to the result and the induction integration analysis of the short video platform hot stem information, calculating the possibility of the user to express the characters by using the input method;
and S4, further switching the recommendation method of the candidate characters of the input method in real time according to the calculation result, and meeting the communication requirements of users.
Step S2 further comprises the steps of:
The input method software enables a data monitoring sub-module to collect and sort the hot stem data information of the network in the short video platform in the month of the year through the big data analysis and sorting system, and further converts and sorts the hot stem data information into character information to be stored and recorded through a storage and recording module;
Step S22, when a user clicks an input box through chat software to enable the input method software to conduct typing chat, the input method software further conducts recognition analysis on chat record data information between the user and the user who is ready to communicate through a data monitoring sub-module II so as to determine communication environment atmosphere, wherein the chat software is chat software which enables the user to set APP with communication chat functions to be required to conduct analysis processing through a big data analysis and arrangement system according to personal wishes, and chat typing requirements of the user can be met to the greatest extent;
And S23, when the frequency of all network hot stems stored and recorded in the chat record data information occurrence information database obtained by recognition analysis is smaller than a threshold value R, the recognition judging module judges that the communication environment atmosphere between the user and the user in preparation for communication is serious environment atmosphere, so that when the user is in communication with typing, the control switching module controls the recommendation method of the input method software for the candidate word to be normal recommendation, when the frequency of all network hot stems stored and recorded in the chat record data information occurrence information database obtained by recognition analysis is greater than or equal to the threshold value R, the occurrence frequency value of the network hot stems is counted to be X and then is waiting for further processing, the communication environment atmosphere is determined through the analysis of the user and the user in preparation for communication, a reliable reference basis is provided for the analysis of the communication with the user, and a corresponding processing method is adopted according to different recognition judging results, so that the analysis service of the system is more intelligent and efficient, the satisfaction degree of the input method software is indirectly improved, and the use experience is improved.
Step S24, after the occurrence frequency value of the network hot stems is obtained to be X, the recognition judging module further detects the typing state of the user, when the real-time average typing time of the user exceeds the historical average typing time or the standard condition of repeated deletion and modification occurs, the recognition judging module judges that the communication environment atmosphere between the user and the user in preparation for communication is serious environment atmosphere, otherwise, judges that the communication environment atmosphere is relaxed environment atmosphere, and when the real-time average typing time of the user exceeds the historical average typing time or the standard condition of repeated deletion and modification occurs, the user in preparation for communication is indicated to be led or lifetime, and the like, so that the user needs to take consideration in the typing, the communication environment atmosphere is judged to be serious environment atmosphere, and through a further recognition judging mechanism, the analysis and recognition result of the system is more accurate and scientific, and the use satisfaction degree of the user to software is increased.
Step S3 further comprises the steps of:
step S31, after the storage and recording result in the step S21 is obtained, the hot stem is marked in sequence according to the hot stem from large to small by the hot degree module, a hot stem bar chart is built according to the storage and recording result, the abscissa is the corresponding sequence mark of each hot stem, the ordinate is the hot degree value, the hot degree value data of the hot stem are represented in the bar chart, and the bar chart construction is completed;
Step S32, after receiving the identification judgment result that the communication environment atmosphere is the relaxed environment atmosphere in the step S24, an analysis matching module identifies the typing content of the user currently through an input method and matches the typing content with the storage recording result in the step S21, when the identification matching is carried out on the characters with the same current typing content of the user and the storage recording result in the step S21, and the same character quantity is obtained through a counting unit and exceeds a word quantity threshold Z, the same character quantity value is obtained at the same time, the more the number of the characters with the same recording result is obtained, the more the current typing content of the user and the current character information content of the user which is required to be output are consistent with the information content of the popular stems, so that the same character quantity value is counted, an effective calculation data value is provided for the calculation analysis of the possibility that the current typing content of the user is the popular stems is calculated and analyzed by a subsequent calculation and analysis system, and the analysis of the current typing content of the user is more accurate and efficient;
And step S33, calculating the possibility that the current typewriting content of the user is the popular stem is N through a possibility calculation module according to the data result.
In step S33, the calculation formula of the possibility N that the current typing content of the user is the popular stem is as follows:
N=KX+W
wherein N is the probability value that the current typing content of the user is the hot stem, K is the probability conversion coefficient, K is a constant greater than zero, X is the frequency of all network hot stems stored and recorded in the chat record data information occurrence information database between the user and the user who is ready to communicate, and W is the number of words with the same current typing content of the user as the recorded result stored in step S21.
Step S4 further comprises the steps of:
Step S41, when the calculated result exceeds 60%, the electric signal starts the control switching module to control the recommendation method of the input method software on the candidate words to be carried out together with the hot stem recommendation, and then a word ordering module is further started; when the calculation result exceeds 60%, the content to be input by the user is almost judged to be hot stem information, so that the recommendation method of the candidate words by the input method software is changed correspondingly, and is changed into normal recommendation and hot stem recommendation which are carried out together, wherein the normal recommendation is an original function of the input method software, namely, the candidate words are recommended by the conventional methods such as a logic sequence word which can be composed of words and the like which are currently typed by the user for the user to select, and the candidate words are recommended by the two methods together, so that the situation that the candidate words recommended by the normal recommendation method can be selected by the user when accidents happen, namely, the content to be input by the user at present is not hot stem information can be prevented, and the system function is more intelligent and scientific;
Step S42, the word sequencing module takes the hot stem word information stored and recorded in the step S21 as a first selection recommendation sequence of the candidate word of the input method software, and normally recommends word information to be recommended as a second selection recommendation sequence of the candidate word of the input method software;
And S43, controlling input method software to conduct sequencing recommendation of candidate words according to the selected recommendation sequence through a control display module according to the sequencing result.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
It should be noted that the above-mentioned embodiments are merely preferred embodiments of the present invention, and the present invention is not limited thereto, but may be modified or substituted for some of the technical features thereof by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (3)
1. The visualized big data analysis and arrangement system comprises a data monitoring acquisition module, an analysis and calculation module and a control updating module, and is characterized in that the data monitoring acquisition module is connected with the analysis and calculation module in a network manner, the control updating module is respectively and electrically connected with the data monitoring acquisition module and the analysis and calculation module, the data monitoring acquisition module is used for monitoring and acquiring related text data information, the analysis and calculation module is used for analyzing and calculating candidate word recommendation of input method software, and the control updating module is used for controlling and updating the text data information;
The data monitoring acquisition module comprises a data monitoring module, an identification judging module and a storage recording module, wherein the data monitoring module is in network connection with the identification judging module, the storage recording module is respectively and electrically connected with the data monitoring module and the identification judging module, the data monitoring module is used for monitoring data information, the data monitoring module comprises a first data monitoring sub-module and a second data monitoring sub-module, the first data monitoring sub-module is electrically connected with the second data monitoring sub-module, the first data monitoring sub-module and the second data monitoring sub-module are respectively used for monitoring hot stem data information and user typing communication alternating current data information, the identification judging module is used for carrying out identification judgment on relevant status information, and the storage recording module is used for carrying out storage recording on information data;
The analysis and calculation module comprises an analysis and matching module, a counting unit, a heat degree module and a possibility calculation module, wherein the analysis and matching module is electrically connected with the counting unit, the possibility calculation module is respectively electrically connected with the matching module and the counting unit, the analysis and matching module is used for analyzing and matching typing information of a user, the counting unit is used for counting the same word number, the heat degree module is used for processing and analyzing the heat degree of hot stems of a short video platform, and the possibility calculation module is used for calculating and analyzing the possibility that candidate words of input method software are recommended;
The control updating module comprises a word ordering module, a control display module and a control switching module, wherein the word ordering module is electrically connected with the control display module, the word ordering module is used for ordering the recommendation of candidate words of input method software, the control display module is used for controlling the recommendation display of the candidate words, and the control switching module is used for controlling and switching the recommendation modes of the candidate words;
the operation method of the big data analysis and arrangement system mainly comprises the following steps:
Step S1, an information database is established, and software information of a user using an input method and hot stem information of a short video platform are stored;
S2, analyzing the communication condition of the user using the input method to determine the communication environment;
step S3, according to the result and the induction integration analysis of the short video platform hot stem information, calculating the possibility of the user to express the characters by using the input method;
Step S4, further switching the recommendation method of the candidate characters of the input method in real time according to the calculation result, and meeting the communication requirements of users;
The step S2 further comprises the steps of:
S21, enabling a data monitoring sub-module to collect and sort the network hot stem data information of the short video platform in the month by using the input method software through a big data analysis and sorting system, and further converting and sorting the data information into text information to be stored and recorded through a storage and recording module;
s22, when a user clicks an input box through chat software to enable the input method software to conduct typing chat, the input method software further conducts recognition analysis on chat record data information between the user and the user who is ready to communicate through a second data monitoring sub-module, and therefore communication environment atmosphere is determined;
Step S23, when the frequency of all network hot stems stored and recorded in the chat record data information occurrence information database is less than a threshold value R, the identification judging module judges that the communication environment atmosphere between the user and the user in preparation for communication is serious environment atmosphere, so that when the user performs communication with typing, the control switching module controls the recommendation method of the input method software for candidate words to be normal recommendation, and when the frequency of all network hot stems stored and recorded in the chat record data information occurrence information database is greater than or equal to the threshold value R, the occurrence frequency value of the network hot stems is counted to be X, and then the further processing is waited;
step S24, after the occurrence frequency value of the network hot stems is obtained to be X, the recognition and judgment module further detects the typing state of the user, when the real-time average typing time of the user exceeds the historical average typing time or the standard condition of repeated deletion and modification appears, the recognition and judgment module judges that the communication environment atmosphere between the user and the user in preparation for communication is serious environment atmosphere, and otherwise, the communication environment atmosphere is easy environment atmosphere.
2. The visual-based big data analysis and sorting system according to claim 1, wherein the step S3 further comprises the steps of:
step S31, after the storage recording result of the step S21 is obtained, a hot stem bar graph is established according to the storage recording result after the hot stem is marked with a numerical sequence from large to small according to the hot value, the abscissa is the corresponding sequential mark of each hot stem, the ordinate is the hot value, and hot value data of the hot stem are represented in the bar graph to complete bar graph construction;
Step S32, after receiving the identification judgment result that the communication environment atmosphere in the step S24 is the relaxed environment atmosphere, an analysis matching module identifies the typing content of the user currently through an input method and matches the typing content with the storage recording result in the step S21, and when the identification matches the characters with the same current typing content of the user and the storage recording result in the step S21, and the same number of characters obtained through a counting unit exceeds a word number threshold Z, the same number of characters is obtained at the same time, and the value of the number of characters is W;
And step S33, calculating the possibility that the current typewriting content of the user is the popular stem is N through a possibility calculation module according to the data result.
3. The visual-based big data analysis and sorting system according to claim 2, wherein the step S4 further comprises the steps of:
Step S41, when the calculated result exceeds 60%, the electric signal starts the control switching module to control the recommendation method of the input method software on the candidate words to be carried out together with the hot stem recommendation, and then a word ordering module is further started;
Step S42, the word sequencing module takes the hot stem word information stored and recorded in the step S21 as a first selection recommendation sequence of the candidate word of the input method software, and normally recommends word information to be recommended as a second selection recommendation sequence of the candidate word of the input method software;
And S43, controlling input method software to conduct sequencing recommendation of candidate words according to the selected recommendation sequence through a control display module according to the sequencing result.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210826819.8A CN115407882B (en) | 2022-07-13 | 2022-07-13 | Big data analysis and arrangement system based on visualization |
| CN202411042656.XA CN119179396A (en) | 2022-07-13 | 2022-07-13 | Big data analysis and arrangement system based on visualization |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210826819.8A CN115407882B (en) | 2022-07-13 | 2022-07-13 | Big data analysis and arrangement system based on visualization |
Related Child Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202411042656.XA Division CN119179396A (en) | 2022-07-13 | 2022-07-13 | Big data analysis and arrangement system based on visualization |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN115407882A CN115407882A (en) | 2022-11-29 |
| CN115407882B true CN115407882B (en) | 2024-12-03 |
Family
ID=84157249
Family Applications (2)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210826819.8A Active CN115407882B (en) | 2022-07-13 | 2022-07-13 | Big data analysis and arrangement system based on visualization |
| CN202411042656.XA Pending CN119179396A (en) | 2022-07-13 | 2022-07-13 | Big data analysis and arrangement system based on visualization |
Family Applications After (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202411042656.XA Pending CN119179396A (en) | 2022-07-13 | 2022-07-13 | Big data analysis and arrangement system based on visualization |
Country Status (1)
| Country | Link |
|---|---|
| CN (2) | CN115407882B (en) |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2008141583A1 (en) * | 2007-05-22 | 2008-11-27 | Beijing Sogou Technology Development Co., Ltd. | Character input method, input system and method for updating word lexicon |
Family Cites Families (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102063194A (en) * | 2010-04-16 | 2011-05-18 | 百度在线网络技术（北京）有限公司 | Method, equipment, server and system for inputting characters by user |
| CN102314440B (en) * | 2010-06-30 | 2016-06-08 | 百度在线网络技术（北京）有限公司 | Utilize the method and system in network operation language model storehouse |
| CN103106214B (en) * | 2011-11-14 | 2016-02-24 | 索尼爱立信移动通讯有限公司 | A kind of candidate's phrase output intent and electronic equipment |
| CN102968191A (en) * | 2012-11-15 | 2013-03-13 | 百度国际科技（深圳）有限公司 | Method for input by using input method and electronic device |
| KR102417046B1 (en) * | 2016-10-21 | 2022-07-06 | 삼성전자주식회사 | Device and method for providing recommended words for character input from user |
| CN106557178B (en) * | 2016-11-29 | 2021-03-09 | 百度国际科技（深圳）有限公司 | Method and device for updating entries of input method |
| CN109597498B (en) * | 2018-11-29 | 2021-01-19 | 北京蓦然认知科技有限公司 | Word stock maintenance management method and device |
-
2022
- 2022-07-13 CN CN202210826819.8A patent/CN115407882B/en active Active
- 2022-07-13 CN CN202411042656.XA patent/CN119179396A/en active Pending
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2008141583A1 (en) * | 2007-05-22 | 2008-11-27 | Beijing Sogou Technology Development Co., Ltd. | Character input method, input system and method for updating word lexicon |
Also Published As
| Publication number | Publication date |
|---|---|
| CN115407882A (en) | 2022-11-29 |
| CN119179396A (en) | 2024-12-24 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN112424763B (en) | Object recommendation method and device, storage medium and terminal equipment | |
| CN107526807B (en) | Information recommendation method and device | |
| CN110059182A (en) | Art recommended method and device towards customer service | |
| CN114707074B (en) | Content recommendation method, device and system | |
| CN102099803A (en) | Method and computer system for automatically answering natural language questions | |
| CN111143697A (en) | Content recommendation method and related device | |
| CN108924371B (en) | Method for identifying user number through incoming call number in electric power customer service process | |
| CN110858219A (en) | Logistics object information processing method and device and computer system | |
| CN118733774B (en) | A market supervision data management system and method based on large model text | |
| CN118152546A (en) | Customer service intelligent response method, system and medium based on large model and knowledge graph | |
| CN116243827A (en) | Message interaction method and related equipment | |
| CN115168700A (en) | Information flow recommendation method, system and medium based on pre-training algorithm | |
| CN116644744A (en) | Customer appeal trend analysis method and system | |
| CN104992318B (en) | Method for actively recommending events by calendar | |
| CN111143688B (en) | Evaluation method and system based on mobile news client | |
| CN115407882B (en) | Big data analysis and arrangement system based on visualization | |
| CN119048191A (en) | Recommendation model generation method and device, electronic equipment and storage medium | |
| CN114722266A (en) | Questionnaire push method, device, electronic device and readable storage medium | |
| CN119003738A (en) | Intelligent interaction method and system for power grid customer service based on big data analysis | |
| CN113626638A (en) | Short video recommendation processing method and device, intelligent terminal and storage medium | |
| WO2020095776A1 (en) | Knowledge information creation assistance device | |
| CN116433324A (en) | Product recommendation method, device, medium and computer equipment | |
| CN109815413A (en) | A kind of intelligent recommendation system and its intelligent recommendation method | |
| CN111353101A (en) | Data pushing method | |
| CN116431779B (en) | FAQ question-answering matching method and device in legal field, storage medium and electronic device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| TA01 | Transfer of patent application right | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20241106 Address after: Room 3018, No. 8 Huijin Fourth Street, Nancheng Street, Dongguan City, Guangdong Province 523000 Applicant after: Dongguan New Thinking Market Information Consulting Co.,Ltd. Country or region after: China Address before: No. 476, Longjiang Road, Taicang City, Suzhou City, Jiangsu Province, 215000 Applicant before: Mu Yunyang Country or region before: China |
|
| GR01 | Patent grant | ||
| GR01 | Patent grant |