Skip to content

A large data set of movie reviews has taken and based on the review made by user, review was classified into either positive or negative review. Various machine learning algorithms such as Naives Bayes, Random forest, SVM and Bagged tree were used for classification purpose. Technology used - Python

Notifications You must be signed in to change notification settings

satyams407/Sentiment-Analysis-on-IMDB-reviews

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

8 Commits
 
 
 
 
 
 
 
 

Repository files navigation

Sentiment-Analysis-on-IMDB-reviews

Screenshot 2020-09-10 at 11 50 33 PM

Screenshot 2020-09-10 at 11 50 33 PM

Screenshot 2020-09-10 at 11 50 38 PM

Screenshot 2020-09-10 at 11 51 53 PM

Screenshot 2020-09-10 at 11 52 00 PM

Screenshot 2020-09-10 at 11 52 11 PM

Screenshot 2020-09-10 at 11 52 16 PM

images.githubusercontent.com/13750239/92782009-3f559600-f3c2-11ea-8e9e-557b9db16373.png"> Screenshot 2020-09-10 at 11 50 53 PM

Screenshot 2020-09-10 at 11 51 13 PM

Screenshot 2020-09-10 at 11 51 21 PM

Screenshot 2020-09-10 at 11 51 29 PM

Screenshot 2020-09-10 at 11 51 35 PM

Screenshot 2020-09-10 at 11 51 41 PM

About

A large data set of movie reviews has taken and based on the review made by user, review was classified into either positive or negative review. Various machine learning algorithms such as Naives Bayes, Random forest, SVM and Bagged tree were used for classification purpose. Technology used - Python

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages