khanfarhan10/TextSentimentAnalysis
Text Sentiment Analysis in Python using Natural Language Processing (NLP) for Negative/Positive Content Detection. Deployed on the Cloud using Streamlit on the Heroku Platform.
Leverages TensorFlow/Keras deep learning models for sentiment classification with additional utilities for text summarization and paraphrase generation. Built with a modular architecture offering multiple interfaces: a Streamlit web UI, Flask backend server, and command-line tool for batch processing CSV files. Supports both real-time inference and programmatic text analysis workflows.
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Jupyter Notebook
License
MIT
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Last pushed
Jan 14, 2021
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