Purdue-Simplilearn-AI-ML

Projects done under Purdue-Simplilearn PGP AI & ML

View the Project on GitHub lookupinthesky/Purdue-Simplilearn-AI-ML

Topic Analysis of Amazon Reviews

DESCRIPTION

Help a leading mobile brand understand the voice of the customer by analyzing the reviews of their product on Amazon and the topics that customers are talking about. You will perform topic modeling on specific parts of speech. You’ll finally interpret the emerging topics.

Problem Statement

A popular mobile phone brand, Lenovo has launched their budget smartphone in the Indian market. The client wants to understand the VOC (voice of the customer) on the product. This will be useful to not just evaluate the current product, but to also get some direction for developing the product pipeline. The client is particularly interested in the different aspects that customers care about. Product reviews by customers on a leading e-commerce site should provide a good view.

Domain: Amazon reviews for a leading phone brand

Analysis to be done: POS tagging, topic modeling using LDA, and topic interpretation

Content:

Dataset: ‘K8 Reviews v0.2.csv’

Columns:

Sentiment: The sentiment against the review (4,5 star reviews are positive, 1,2 are negative)

Reviews: The main text of the review

Solution

See Code - Jupyter Notebook

See Report