Sentiment Analysis of Amazon Reviews for "Maus" Graphic Novel

This project performs sentiment analysis on Amazon reviews for the graphic novel "Maus" by Art Spiegelman. It scrapes the reviews from Amazon, analyzes the sentiment of each review using TextBlob, and visualizes the sentiment distribution.

Table of Contents

• Features
• Requirements
• Getting Started
• Usage
• Sentiment Analysis Methodology
• Author

Features

• Scrapes Amazon reviews current link is doing for the graphic novel "Maus" using web scraping techniques.
• Analyzes sentiment using TextBlob, classifying each review as positive, negative, or neutral.
• Visualizes the sentiment distribution with a bar chart.
• Provides insights into the overall sentiment of the reviews.

Requirements

• Python 3.x
• pandas
• requests
• BeautifulSoup
• textblob
• matplotlib

Getting Started

Clone this repository to your local machine:

Usage

• Run the scrape_amazon_reviews.py script to scrape Amazon reviews and perform sentiment analysis.

• Ensure that the CSV file containing the scraped reviews is named amazon_reviews_maus.csv and is saved in the same directory as the script.

• Execute the script using Python:

  python scrape_amazon_reviews.py

• Go to scrape_amazon_reviews.py cd scrape_amazon_reviews.py

• Replace the url link with your requierd url and run command Run commands and your Sentimental would be on screen

  python scrape_amazon_reviews.py

  then

  python sentiment_analysis.py

Sentiment Analysis Methodology

• The script utilizes the TextBlob library for sentiment analysis.
• Each review is classified as positive, negative, or neutral based on the polarity score obtained from TextBlob.
• The sentiment distribution is visualized using a bar chart.

Author

Asjid Ali
Email: asjidale@gmail.com

Feel free to reach out for any questions or feedback.

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