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Analyze Amazon product reviews

Project description

Project Description: Amazon Product Review Analysis

digitalisation ENSAM casa

This Python script aims to analyze Amazon product reviews by extracting reviews from a specific product's URL and performing sentiment analysis on those reviews.

Functions Overview:

  1. get_url_review_page(UrlProduct, i):

    • Constructs the URL for a specific page of product reviews.
  2. get_rating(UrlProduct):

    • Retrieves the overall rating of the product.
  3. get_product_name(UrlProduct):

    • Extracts the name of the product from its URL.
  4. get_global_rating(UrlProduct):

    • Fetches the global rating of the product.
  5. get_image_url(UrlProduct):

    • Obtains the URL of the product's image.
  6. extract_reviews(UrlProduct):

    • Extracts reviews from a specific page of product reviews.
  7. extract_all_reviews(UrlProduct):

    • Extracts all reviews from multiple pages of product reviews.
  8. clean_comment(comment):

    • Cleans the text of a comment by converting it to lowercase, removing non-alphabetic characters, digits, and stop words.
  9. sentiment_analysis_textblob(text):

    • Performs sentiment analysis using TextBlob and returns the sentiment label (Positive, Negative, or Neutral).
  10. comment_dataFrame(UrlProduct):

    • Constructs a DataFrame containing cleaned comments and their corresponding sentiments.
  11. sentiment_by_comment(df):

    • Calculates the count of comments by sentiment.

Installation Requirements:

Team Members:

  • El Ouankrimi Ali
  • Olamine Zakaria
  • Oubella Abdallah #\x00 \x00A\x00m\x00a\x00P\x00r\x00o\x00d\x00u\x00c\x00t\x00R\x00e\x00v\x00i\x00e\x00w\x00s\x00 \x00 \x00

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