• Designed a classification model based on the text reviews with 91.28% accuracy to understand Kindle customer feedback
• Extracted reviews from an Amazon database and used TfidfVectorizer, stemming and lemmatizing techniques to preprocess data
-
Notifications
You must be signed in to change notification settings - Fork 0
Designed a classification model based on the text reviews with 91.28% accuracy to understand Kindle customer feedback. Extracted reviews from an Amazon database and used TfidfVectorizer, stemming and lemmatizing techniques to preprocess data
mlimaye94/Amazon-Kindle-Feedback-Analysis-Using-NLP
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
Designed a classification model based on the text reviews with 91.28% accuracy to understand Kindle customer feedback. Extracted reviews from an Amazon database and used TfidfVectorizer, stemming and lemmatizing techniques to preprocess data
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published