Text-Mining-Amazon-IMDB

Text Mining - Amazon_website IMDB_reviews

Problem Statement

In the era of widespread internet use, it is necessary for businesses to understand what the consumers think of their products. If they can understand what the consumers like or dislike about their products, they can improve them and thereby increase their profits by keeping their customers happy. For this reason, they analyze the reviews of their products on websites such as Amazon or Snapdeal by using text mining and sentiment analysis techniques.

Task 1:

1. Extract reviews of any product from e-commerce website Amazon.
2. Perform sentiment analysis on this extracted data and build a unigram and bigram word cloud.

"https://www.amazon.in/Devangi-Fashion-pure-Saree-DF_Patola_106_Red/product-reviews/B07YFHJ92P/ref=cm_cr_othr_d_show_all_btm?ie=UTF8&reviewerType=all_reviews"

Task 2:

1. Extract reviews for any movie from IMDB and perform sentiment analysis. "https://www.imdb.com/title/tt7767422/reviews?ref_=tt_urv"

Task 3:

1. Choose any other website on the internet and do some research on how to extract text and perform sentiment analysis