SENT2BAYES: A Hybrid Machine Learning Model Combining Word2vec and Multi-Nomial Naive Bayes Classifier for Movie Review Sentiment Analysis in Twitter-Reference-Cited by-同舟云学术

SENT2BAYES: A Hybrid Machine Learning Model Combining Word2vec and Multi-Nomial Naive Bayes Classifier for Movie Review Sentiment Analysis in Twitter

Published:2023-10-18 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS)
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Author:

Jothi J. Nirmal¹,Soundiraraj N²,Darney P. Ebby³,Krishnan R. Santhana⁴,Narayanan K. Lakshmi⁵,Sundararajan S.⁶

Affiliation:

1. Vel tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, School of Elcetrical and Communication,Department of Electronics and Communication Engineering,Avadi, Chennai,India

2. PSNA College of Engineering and Technology,Department of Electronics and Communication Engineering,Dindigul,India

3. RajaRajeswari College of Engineering,Department of Electrical and Electronics Engineering,Bangalore,India

4. SCAD College of Engineering and Technology,Department of Electronics and Communication Engineering,Cheranmahadevi,India

5. Francis Xavier Engineering College,Department of Electronics and Communication Engineering,Tirunelveli,India

6. SCAD College of Engineering and Technology,Department of Mechanical Engineering,Cheranmahadevi,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10330805/10331621/10331908.pdf?arnumber=10331908

Reference18 articles.

1. Twitter Sentiment Analysis of Movie Reviews using Ensemble Features Based Naïve Bayes

2. Citius: A Naive-Bayes Strategy for Sentiment Analysis on English Tweets

3. Ensemble Method for Indonesian Twitter Hate Speech Detection

4. A New Sentiment Analysis based Application for Analyzing Reviews of Web Series and Movies of Different Genres

5. Enhancing the Performance of Sentiment Analysis by Using Different Feature Combinations