A survey and comparative study on negative sentiment analysis in social media data

Paul, Jayanta; Das Chatterjee, Ahel; Misra, Devtanu; Majumder, Sounak; Rana, Sayak; Gain, Malay; De, Anish; Mallick, Siddhartha; Sil, Jaya

doi:10.1007/s11042-024-18452-0

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

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

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.

A survey and comparative study on negative sentiment analysis in social media data

Cited by 4 publications

References 126 publications

Leveraging LSTM and Multinomial Naive Bayes for Nuanced Textual-Based Sentiment Analysis

Leveraging LSTM and Multinomial Naive Bayes for Nuanced Textual-Based Sentiment Analysis

Leveraging Ensemble Learning for Enhanced Sentiment Analysis

Deep Learning Approaches and Security Domains in Sentiment Analysis

Contact Info

Product

Resources

About