metadata

title: News Summarisation And Sentiment Analysis
emoji: 🔥
colorFrom: yellow
colorTo: blue
sdk: streamlit
sdk_version: 1.43.2
app_file: app.py
pinned: false
short_description: ' Fetch the articles of the given company name '

News_Summarisation_Sentiment_Analysis

This is a web-based application that extracts key details from multiple news articles related to a given company, performs sentiment analysis, conducts a comparative analysis, and generates a text-to-speech (TTS) output in Hindi.

Features

Company-specific news extraction
Advanced text summarization using Pegasus model
Sentiment analysis with Hugging Face Model
Topic extraction using LDA
Comparative sentiment analysis
Text-to-speech conversion in Hindi
User-friendly Streamlit interface

Project Structure

Installation

Create a virtual environment:

python -m venv myenv
# Windows
myenv\Scripts\activate

Install dependencies:
```
pip install -r requirements.txt
```
Run the application

streamlit run app.py

Usage

##Enter a company name and click "Analyze" to get: -->News articles -->Summaries -->Sentiment analysis -->Topic distribution -->Comparative analysis -->Audio output in Hindi ##Technical Details -->Frontend: Streamlit -->NLP Models: -->Pegasus for summarization -->FinBERT for sentiment analysis -->LDA for topic modeling -->Audio Processing: GTTS for text-to-speech -->Backend: FastAPI ##Requirements -->Python 3.8+ -->CUDA (optional for GPU acceleration) -->Internet connection for model downloads

##License -->MIT License

##Acknowledgments -->Hugging Face for NLP models -->Streamlit for web interface -->NLTK for text processing