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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.
Leveraging sentiment analysis and data augmentation to recreate recipe scoring algorithm with sparse data. Used MLPs and Gradient Boosting Regressors to compare regression metrics such as RMSE and MSE between raw data and raw data in conjunction with augmented data.
Geographical Networks Project 2020-2021. Given the current situation, from the pandemic phenomenon of Covid-19, we want to carry out a project based on Sentiment Analysis through Twitter, to understand what the Italian population thinks about it, focusing on how it reacted following the various decisions governmental (dpcm, etc.).
Sentiment analysis of comments, the user can get to know about the community acceptance of its channel/video based on that one can maintain their content quality.
Scraped data from the website BooksAreMagic.com. Performed Exploratory Data Analysis using Tableau, Text Analysis using Python's libraries such as Natural Language ToolKit (NLTK), TextBlob etc. to gain meaningful insights on book reviews