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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM21645

SENTIMENTAL ANALYSIS OF IMDB USER REVIEWS

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM21645

Volume:

7 |

5 |

May 2023

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

MK

Mohit Khodse

RK

Rohit Kumar

HR

Hrishikesh Raj.

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Abstract

The sentiment analysis is an emerging analyzed, to generate useful insights in regards to a specific topic. It is an effective tool which can serve government ,corporations and even consumers. In this project, machine learning-based approaches are applied to accurately determine the sentiment behind the IMDb user reviews to evaluate whether user has positive remarks or negative remarks regarding the movie. Multiple Machine learning technique i.e. Logistic Regression, Decision Tree, Random Forest, Naive Bayes and Support Vector Machines are employed to assess the polarity of each sentiment present in the dataset.

KEYWORDS

Sentiment Analysis Machine Learning (ML) Natural Language Processing (NLP) Movie Reviews

Cite This Article

Mohit Khodse, Rohit Kumar, Hrishikesh Raj., "SENTIMENTAL ANALYSIS OF IMDB USER REVIEWS," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 5, May 2023. https://doi.org/10.55041/IJSREM21645

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Publication Date

5/23/2023

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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