Skip to content

Using different Supervised Learning techniques with different settings of their hyperparameters to capture the sentiment from IMDb Movie Reviews dataset.

Notifications You must be signed in to change notification settings

ayan-cs/sentiment-analysis-imdb

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

8 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Sentiment Analysis from IMDb Movie Reviews : A study on Performance of Hyperparameter tuned Classification Algorithms

Using different Supervised Learning techniques with different settings of their hyperparameters to capture the sentiment from IMDb Movie Reviews dataset. This project is submitted as a partial fulfillment of the course Machine Learning - 1 (CSL7550).

IMPORTANT

If you are using the Code (fully or partially) or the preprocessed Dataset used in the work, kindly cite the THIS PUBLICATION.

A. Ghosh, "Sentiment Analysis of IMDb Movie Reviews : A comparative study on Performance of Hyperparameter-tuned Classification Algorithms," 2022 8th International Conference on Advanced Computing and Communication Systems (ICACCS), 2022, pp. 289-294, doi: 10.1109/ICACCS54159.2022.9784961.

Dataset (preprocessed) link : CLICK HERE

About

Using different Supervised Learning techniques with different settings of their hyperparameters to capture the sentiment from IMDb Movie Reviews dataset.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages