+

Sahu et al., 2023 - Google Patents

Sarcasm detection: a review, synthesis and future research agenda

Sahu et al., 2023

Document ID
5903115564884949934
Author
Sahu G
Hudnurkar M
Publication year
Publication venue
International Journal of Image and Graphics

External Links

Snippet

A literature review on sarcasm detection has been undergone in this research work. To have a meaningful study about the existing works on sarcasm detection, a total of 65 research papers have been analyzed in diverse aspects like the datasets utilized, language, pre …
Continue reading at www.worldscientific.com (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F17/30634—Querying
    • G06F17/30657—Query processing
    • G06F17/30675—Query execution
    • G06F17/30684—Query execution using natural language analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/20—Handling natural language data
    • G06F17/27—Automatic analysis, e.g. parsing
    • G06F17/2765—Recognition
    • G06F17/277—Lexical analysis, e.g. tokenisation, collocates
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/20—Handling natural language data
    • G06F17/27—Automatic analysis, e.g. parsing
    • G06F17/2705—Parsing
    • G06F17/271—Syntactic parsing, e.g. based on context-free grammar [CFG], unification grammars
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/20—Handling natural language data
    • G06F17/27—Automatic analysis, e.g. parsing
    • G06F17/2785—Semantic analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/20—Handling natural language data
    • G06F17/28—Processing or translating of natural language
    • G06F17/2872—Rule based translation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/20—Handling natural language data
    • G06F17/28—Processing or translating of natural language
    • G06F17/289—Use of machine translation, e.g. multi-lingual retrieval, server side translation for client devices, real-time translation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F17/30705—Clustering or classification
    • G06F17/30707—Clustering or classification into predefined classes
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/20—Handling natural language data
    • G06F17/21—Text processing
    • G06F17/22—Manipulating or registering by use of codes, e.g. in sequence of text characters
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00—Subject matter not provided for in other groups of this subclass
    • G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00—Computer systems utilising knowledge based models
    • G06N5/02—Knowledge representation
    • G06N5/022—Knowledge engineering, knowledge acquisition
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00—Speech recognition
    • G10L15/08—Speech classification or search
    • G10L15/18—Speech classification or search using natural language modelling
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints

Similar Documents

Publication Publication Date Title
Pandey et al. BERT-LSTM model for sarcasm detection in code-mixed social media post
Cheng et al. An emotion cause corpus for chinese microblogs with multiple-user structures
Nasir et al. Text-based emotion prediction system using machine learning approach
Al-Harigy et al. Building towards automated cyberbullying detection: A comparative analysis
Reganti et al. Modeling satire in English text for automatic detection
Majeed et al. Deep-EmoRU: mining emotions from roman urdu text using deep learning ensemble
Nerabie et al. The impact of Arabic part of speech tagging on sentiment analysis: A new corpus and deep learning approach
Thaokar et al. N-Gram based sarcasm detection for news and social media text using hybrid deep learning models
Mahima et al. A text-based hybrid approach for multiple emotion detection using contextual and semantic analysis
Mahendhiran et al. CLSA-CapsNet: Dependency based concept level sentiment analysis for text
Ruposh et al. A computational approach of recognizing emotion from Bengali texts
Sahu et al. Sarcasm detection: a review, synthesis and future research agenda
Kumar et al. Evolving techniques in sentiment analysis: a comprehensive review
Sharma et al. A critical review on sentiment analysis techniques
Fkih et al. A semantic approach for sarcasm identification for preventing fake news spreading on social networks
Elmitwalli et al. Sentiment analysis of COP9-related tweets: a comparative study of pre-trained models and traditional techniques
Khan et al. A novel transformer attention‐based approach for sarcasm detection
Ilavarasan A Survey on Sarcasm detection and challenges
Skenduli et al. User-emotion detection through sentence-based classification using deep learning: a case-study with microblogs in Albanian
Gelbukh Computational linguistics and intelligent text processing: 16th international conference, cicling 2015, cairo, egypt, april 14-20, 2015, proceedings, part II
Agüero Torales Machine Learning approaches for Topic and Sentiment Analysis in multilingual opinions and low-resource languages: From English to Guarani
Mihi et al. Automatic sarcasm detection in Arabic tweets: resources and approaches
Gosavi Transformer based Detection of Sarcasm and it’s Sentiment in Textual Data
Samuel a Machine Learning Approach To Multi Scale Sentiment Analysis of Tigrigna Online Posts
Lavanya et al. Building Tamil Text Dataset on LGBTQIA and Offensive Language Detection using Multilingual BERT
点击 这是indexloc提供的php浏览器服务，不要输入任何密码和下载