| 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 |
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.
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