Advancing IPL Social Media Analytics: A Systematic Review of Hybrid Topic  Modeling and Sentiment Analysis Techniques

Milind Bhatt, Abhay Shukla

Advancing IPL Social Media Analytics: A Systematic Review of Hybrid Topic Modeling and Sentiment Analysis Techniques

Authors

Milind Bhatt, Abhay Shukla

Keywords:

IPL, Topic Modeling, Hybrid NLP, Social Media Analytics, Sentiment Analysis, BER-Topic

Abstract

The Indian Premier League (IPL) has become a sporting event that is played worldwide. This quick growthcreates gigantic digital impressions with millions of fans interacting on the social media. We know these matches arepopular, yet there is an ample opportunity of high research gap to fill in terms of how we use higher levels of Natural Language Processing (NLP) to extract useful information out of the IPL related information

References

[ 1 ] Kirti Jain and Rajni Jindal. (2024). NLP-enabled Recommendation of Hashtags for Covid based Tweets using Hybrid BERT-LSTM Model. ACM Trans. Asian Low-Resour. Lang. Inf. Process. (January 2024). https://doi.org/10.1145/3640812

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Published

2024-12-20

How to Cite

Milind Bhatt, Abhay Shukla. (2024). Advancing IPL Social Media Analytics: A Systematic Review of Hybrid Topic Modeling and Sentiment Analysis Techniques. Journal of Computational Analysis and Applications (JoCAAA), 33(08), 8531–8542. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/5353