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Interactive Text Analysis Platform

This project provides a Streamlit-based interactive platform for analyzing and visualizing textual data.

Features

  • Sentiment analysis with VADER.
  • Word cloud generation.
  • Keyword extraction using TF-IDF.
  • Topic modeling with Latent Dirichlet Allocation (LDA).

How to Run

  1. Clone the repository:
  2. Install dependencies: pip install -r requirements.txt
  3. Run the app: streamlit run app.py

Built With

  • Streamlit
  • NLTK
  • Matplotlib
  • WordCloud
  • scikit-learn

About

"An interactive Streamlit app for sentiment analysis, keyword extraction, word cloud generation, and topic modeling using NLP techniques."

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