Opinion mining for provided data from various NLTK corpus to test/enhance the accuracy of the NaiveBayesClassifier model.
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Updated
Oct 10, 2020 - Python
Opinion mining for provided data from various NLTK corpus to test/enhance the accuracy of the NaiveBayesClassifier model.
(UNMAINTAINED)Fetch comments from the given video and determine sentiment towards the video is positive or negative
Sentiment Analysis / Opinion Mining for provided data in NLTK corpus using NaiveBayesClassifier Algorithm
This project analyzes IMDb movie reviews to classify sentiments as positive or negative. It includes text preprocessing, feature extraction using TF-IDF and CountVectorizer, training Logistic Regression and Naive Bayes classifiers, and visualizing frequent words with WordClouds.
Artificial Neural Network Projects
Social network analysis and content moderation system that detects harmful content, identifies influencers, and analyzes information spread using graph neural networks and natural language processing.
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