Merge pull request #96 from revanth1718/main

Added README File for Web_app Folder

Author: sanjay-kv

Web_app/README.md

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+<h1 align="center">IMDb Movie Review Analysis and Recommendation System</h1>
+<blockquote align="center">Analyzing movie reviews and providing recommendations using Python and Streamlit. 🎬💻</blockquote>
+<p align="center">For new data generation and <b>sentiment analysis</b>, we have written a Python script to fetch📊 data from IMDb, analyze sentiments, and provide movie recommendations, all converted into an interactive web app using Streamlit. 🌐📈</p>
+
+## Features
+
+- **Scraping Movie Reviews**: Collects user reviews from IMDb using BeautifulSoup.
+- **Customizable Scraper**: Target specific movies and the number of pages to scrape.
+- **Sentiment Analysis**: Uses Support Vector Machine (SVM) to classify reviews as positive or negative.
+- **Recommendations**: Recommends top movies based on positive reviews.
+- **CSV Output**: Saves the scraped data into a CSV file for further analysis.
+
+## Installation
+
+1. **Install the dependencies:**
+   ```bash
+   pip install streamlit
+   pip install beautifulsoup4
+   pip install requests
+   pip install pandas
+   pip install scikit-learn
+
+## Usage
+
+1. **Run the scraping script** to collect movie reviews and save them into a CSV file. Open and execute the Jupyter notebook:
+
+   ```bash
+   jupyter notebook notebooks/movie_review_imdb_scrapping.ipynb
+
+2. **Navigate to the Web_app directory:**
+   ```bash
+   cd Web_app
+
+3. **Run the Streamlit app:**
+   ```bash
+   streamlit run app.py
+
+4. **Upload a CSV file** containing the reviews when prompted by the app.
+
+
+
+
+
+
+