- http://ptrckprry.com/course/ssd/data/positive-words.txt
- http://ptrckprry.com/course/ssd/data/negative-words.txt
| Name | Meaning |
|---|---|
| Clothing ID | Unique ID of the product |
| Age | Age of the reviewer |
| Title | Title of the review |
| Review | Text 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 |
To do exploratory sentiment analysis and tie it back to product types.
Based on the analysis, it is clear that both the reviews for Tops and Dresses contain positive sentiment in abundance to negative sentiment. Anecdotal observation from the plots also suggests that reviews for Dresses tend to be more positive than reviews for Tops.
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