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Customer Review Analytics
Project 9
Team 12:
Aniket Jain 201301070
Kaveri Anuranjana 201325199
Sayantan Hensh 201505530
Aim
Understand the sentiment of user reviews and provide useful
information for the end-user as well as the product manufa...
Deliverable for this Phase
The features of the deliverable are:
● Crawl amazon.com to fetch data.
● Get review of the prod...
Features - Crawling
● Allow user to get all products from a search query.
● Allow user to set limit on number of reviews a...
Features - Crawling
The user enters the item to be crawled.
Features - Review Extraction
The file containing the reviews is structured in the following way:
- A dictionary of the pro...
Features - Crawling
One product entry(highlighted) in the file.
Tools/Resources
➔ Python
◆ For Crawling: Beautifulsoup
➔ Node.js and Node-Webkit to make an Applet
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IRE Project - Customer Review Analytics

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

Published in: Data & Analytics
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IRE Project - Customer Review Analytics

  1. 1. Customer Review Analytics Project 9 Team 12: Aniket Jain 201301070 Kaveri Anuranjana 201325199 Sayantan Hensh 201505530
  2. 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. 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. 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. 5. Features - Crawling The user enters the item to be crawled.
  6. 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. 7. Features - Crawling One product entry(highlighted) in the file.
  8. 8. Tools/Resources ➔ Python ◆ For Crawling: Beautifulsoup ➔ Node.js and Node-Webkit to make an Applet

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