Data source: Kaggle
Data columns:
- Clothing ID: Unique ID of the product
- Age: Age of the reviewer
- Title: Title of the review
- ReviewText: review
- Rating: Product rating by reviewer
- Recommended IND: Whether the product is recommended or not by the reviewer
- Positive Feedback Count: Number of positive feedback on the review
- Division Name: Name of the division product is in
- Department Name: Name of the department product is in
- Class Name: Type of product
Tasks:
-
Split the dataset into training and test sets with 80-20 ratio.
-
Build several models to forecast Recommended IND usingReview Text.
- BOW Models including binary, count, tfidf, freq
- Word Embedding Model
-
Build several models to forecast Ratingusing Review Text
- BOW Models including binary, count, tfidf, freq
- Word Embedding Model
