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

Jothi, J. Nirmal; Soundiraraj, N; Darney, P. Ebby; Krishnan, R. Santhana; Narayanan, K. Lakshmi; Sundararajan, S.

doi:10.1109/icssas57918.2023.10331908

2023 International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS) 2023

DOI: 10.1109/icssas57918.2023.10331908

|View full text |Cite

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

J. Nirmal Jothi,

N Soundiraraj,

P. Ebby Darney

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Other2

Relationship

Self Cite0

Independent2

Authors

Journals

Cited by 2 publications

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Deep Learning Models for Understanding Audience Sentiments in Movie Tweets

Prasath,

Jeevitha,

Margret

et al. 2024

2024 5th International Conference on Electronics and Sustainable Communication Systems (ICESC)

View full text Add to dashboard Cite

Deep Learning Models for Understanding Audience Sentiments in Movie Tweets

Prasath,

Jeevitha,

Margret

et al. 2024

2024 5th International Conference on Electronics and Sustainable Communication Systems (ICESC)

View full text Add to dashboard Cite

Integrating Emotion Detection with Sentiment Analysis for Enhanced Text Interpretation

Ghosh,

Pandey,

AshokKumar

2024

2024 Second International Conference on Inventive Computing and Informatics (ICICI)

View full text Add to dashboard Cite

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

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

Cited by 2 publications

References 17 publications

Deep Learning Models for Understanding Audience Sentiments in Movie Tweets

Deep Learning Models for Understanding Audience Sentiments in Movie Tweets

Integrating Emotion Detection with Sentiment Analysis for Enhanced Text Interpretation

Contact Info

Product

Resources

About