The projects takes a number of movie reviews from http://www.cs.cornell.edu/people/pabo/movie-review-data/ (polarity dataset v2.0 and an independent dataset) and using SVM, Naive Bayes, KNN algorithms analysis the sentiment behind that review to being either positive or negative. The prediction is then compared to the actual sentiment behind the review and higher precision is targeted between all three algorithm. The research is then followed by a technical paper.
-
Notifications
You must be signed in to change notification settings - Fork 10
The projects takes a number of movie reviews from http://www.cs.cornell.edu/people/pabo/movie-review-data/ (polarity dataset v2.0 and an independent dataset) and using SVM, Naive Bayes, KNN algorithms analysis the sentiment behind that review to being either positive or negative. The prediction is then compared to the actual sentiment behind the…
kuberkaul/SentimentAnalysis-MovieReviews
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
The projects takes a number of movie reviews from http://www.cs.cornell.edu/people/pabo/movie-review-data/ (polarity dataset v2.0 and an independent dataset) and using SVM, Naive Bayes, KNN algorithms analysis the sentiment behind that review to being either positive or negative. The prediction is then compared to the actual sentiment behind the…
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published