https://github.com/twiddling-thumbs/sentiment-analysis-and-web-scrapping

https://github.com/twiddling-thumbs/sentiment-analysis-and-web-scrapping

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• Host: GitHub
• URL: https://github.com/twiddling-thumbs/sentiment-analysis-and-web-scrapping
• Owner: twiddling-thumbs
• Created: 2024-08-02T08:19:41.000Z (5 months ago)
• Default Branch: main
• Last Pushed: 2024-08-02T10:27:20.000Z (5 months ago)
• Last Synced: 2024-08-03T09:56:46.532Z (5 months ago)
• Language: Jupyter Notebook
• Size: 575 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Sentiment-Analysis-and-Web-Scrapping

### Description

This project fetches and analyzes product reviews from Amazon. The specific focus is on the query for "headphones."

1. **Data Fetching**: 

   - Scrape reviews from the Amazon website for products related to "headphones."

   - Store the fetched reviews in a file for further processing.

2. **Data Preprocessing**:

   - Clean and preprocess the fetched review data to ensure it is suitable for sentiment analysis. This includes removing any irrelevant information, normalizing text, and handling missing data.

3. **Sentiment Analysis**:

   - Apply sentiment analysis on the preprocessed data to determine the sentiment of each review (e.g., positive, negative, neutral).

   - Annotate each review with its respective sentiment.

4. **Visualization**:

   - Display the sentiment count in a bar graph to provide a visual representation of the distribution of sentiments among the reviews.