Sentiment Analysis and Text Summarization

• Tech Stack:Python, Streamlit, Pandas, Textblob, Gensim, Sumy, NLP, Cleantext
• Github URL: Project Link
• Website URL: Click Here (May take some time)

This project is a comprehensive web application designed for sentiment analysis, allowing users to analyze comments on various topics such as movie reviews, product reviews, or tweets related to current affairs. The app offers functionalities like text preprocessing, calculating polarity and subjectivity, text summarization, and the ability to download the results. Implemented using Streamlit with Python and deployed on the Streamlit cloud service, the user interface features a clean black-and-white color scheme. Users can perform real-time and batch analysis, customize their experience, and leverage tools for a wide range of applications, making it a versatile and user-friendly solution for diverse stakeholders in the sentiment analysis sector.