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Team SSS

Started ‎02-16-2022 by
Modified ‎08-23-2022 by
Views 493
Team Name SSS
Track Track: Retail
Use Case Sentiment Analysis - Understanding the reviews of e-commerce products.
Technology Python, R
Region India
Team lead Gaddam Venkat Shobika
Team members Swathi Priya Choppala, BRSS Sowjanya 
Social media handles Shobika Gaddam Venkat | LinkedIn
www.linkedin.com/in/swathi-priya-choppala 
https://www.linkedin.com/in/brsssowjanya/ 
Is your team interested in participating in an interview? Y
Optional: Expand on your technology expertise Yes

 

Comments

Business Case Extracted from Registration:  Sentiment Analysis For Online Retail We will cluster the reviews based on both rating and keywords in the reviews.% to help the e-commerce websites to understand sales tendencies and the products which are sold the least. Sometimes the ratings are the opposites of the comments.% so the management/owners need to know the details of sales based on not only reviews but also the keywords in the comments. We will use the visualizations and multiple regression techniques to solve the problem statement.

 

 

Yes, that is the case we plan on doing.

Version history
Last update:
‎08-23-2022 05:59 PM
Updated by:
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