This is a project of Binar Academy
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Updated
Oct 12, 2023 - Jupyter Notebook
This is a project of Binar Academy
This repository contains the code used in my tokenization tutorial video.
NLTK Source
Uses natural language processing to understand the word problem specifically profit and loss only.
Latest Tensorflow Docker with Base, General, Visualization, ML, NLP Package installed !
Files related to NLP, supervised word embedding and Word2Vector method
A mini project to parse through tweets using Twitters API and analyse them, returning the tweets followed by its sentiment and subjectivity scores to the console.
A spaCy component for executing custom logic at the end of a pipeline.
CS 445 NLP Project for observing word clouds / Zipf's Law / Heap's Law / Language Modeling & N-Grams / Creating Random Sentences / Word Vectors / Similarity Vectors
Duplicate Questions Pairs Finding using NLP
This project performs sentiment analysis on restaurant reviews using Natural Language Processing (NLP) techniques in Python. It utilizes various machine learning algorithms, including Multinomial Naive Bayes, Bernoulli Naive Bayes, and Logistic Regression, to classify reviews as liked or disliked.
Used to identify if the string contains a name of a human
Diary Keeping service with Sentiment Analysis
The Text Summarizer is a web-based application that allows users to input a piece of text and receive a summarized version of that text. The summarization is performed using NLP techniques to extract key information and provide a concise summary.
Italian Music Trend from 01/01/2022 to 28/03/2022
Sentiment analysis (text mining and opinion mining) uses Natural Language Processing to determine whether data is positive, negative or neutral. Sentiment analysis is often performed on textual data to help businesses monitor brand and product sentiment in customer feedback, and understand customer needs.
Data Science - Loan Default Prediction challenge.
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