From Tweets to Trends: Utilizing Supervised Learning Algorithms for  Social Media-Driven Business Analytics

Lohit Banakar

From Tweets to Trends: Utilizing Supervised Learning Algorithms for Social Media-Driven Business Analytics

Authors

Lohit Banakar

Keywords:

Sentiment analysis, Supervised learning, Twitter data, Business analytics Machine learning classifiers

Abstract

The opinions of people’s feedback, emotions, attitudes, evaluations, which are providedin natural language on various social media websites. The domain that analyzes these opinions is called sentiment analysis

References

Halibas, A. S., Shaffi, A. S., & Mohamed, M. A. K. V. (n.d.). Application of text classification and clustering of Twitter data for business analytics. [Unpublished manuscript or source details unavailable].

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Published

2023-01-20

How to Cite

Lohit Banakar. (2023). From Tweets to Trends: Utilizing Supervised Learning Algorithms for Social Media-Driven Business Analytics. Journal of Computational Analysis and Applications (JoCAAA), 31(1), 1376–1392. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/4325