Information Extraction and Retrieval Project Team 12 Project 9 - Customer Review Analytics To extract reviews from amazon and perform sentiment analysis.

1. Customer Review Analytics
Project 9
Team 12:
Aniket Jain 201301070
Kaveri Anuranjana 201325199
Sayantan Hensh 201505530

2. Aim
Understand the sentiment of user reviews and provide useful
information for the end-user as well as the product manufacturer
regarding public opinion of the product.

3. Deliverable for this Phase
The features of the deliverable are:
● Crawl amazon.com to fetch data.
● Get review of the product (specified by the user).
● Get the rating of the product entered by the user.

4. Features - Crawling
● Allow user to get all products from a search query.
● Allow user to set limit on number of reviews and products for each search.
● Get rating per user and also overall amazon rating.

5. Features - Crawling
The user enters the item to be crawled.

6. Features - Review Extraction
The file containing the reviews is structured in the following way:
- A dictionary of the products which were crawled. This in turn contains:
- A list for each product with:
- Product review
- Rating

7. Features - Crawling
One product entry(highlighted) in the file.

8. Tools/Resources
➔ Python
◆ For Crawling: Beautifulsoup
➔ Node.js and Node-Webkit to make an Applet