A collection of powerful Natural Language Processing (NLP) tools and scripts for tasks like text preprocessing, sentiment analysis, keyword extraction, and more — built with Python and popular NLP libraries.
An educational web application designed to help beginners in Natural Language Processing understand the full pipeline of sentiment and topic analysis using real world review data
This project involves building several tools to analyze webtoon content, perform sentiment analysis on user comments, and create a chatbot for interacting with content about "Castle Swimmer."
SATVA is an advanced spam analysis tool integrating Spam Classification, NER Extraction, Sentiment Analysis, and Blacklisted URL Tagging. It offers Telegram bot integration and a Streamlit web application, providing detailed, AI-generated responses. Ideal for enhancing security and understanding message content with comprehensive analysis.
Sentiment analysis of Amazon product reviews. The analysis provides insights into customer sentiment and opinions regarding specific products sold on Amazon.
Implementation of sentiment analysis on a dataset using the TextBlob and vaderSentiment libraries.
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