Advance Approach of Sentiment Analysis Using Machine Learning  Approach

Santosh kumar

Advance Approach of Sentiment Analysis Using Machine Learning Approach

Authors

Santosh kumar

Keywords:

Sentiment Analysis, Machine Learning, Deep Learning, Natural Language Processing, Ensemble Methods, Quality-by-Design, Box-Behnken Design, Feature Engineering, Word Embeddings, Attention Mechanism

Abstract

Sentiment analysis has emerged as a cornerstone of modern natural language processing,enabling organizations to extract actionable insights from the vast and growing corpus of usergenerated content across social media, review platforms, and customer feedback channels.With over 500 million tweets generated daily and consumer reviews influencing purchasingdecisions for 93% of online shoppers, the ability to accurately

References

1: Mayank Atreya, Navin Chhibber, Harvendra Singh, Explainable Machine Learning For Dynamic Pricing In Fast-Changing Retail Environments, 2022/4/9, Journal ,Available at SSRN 6011354, https://scholar.google.com/citations?view_op=view_citation&hl=en&user=fyViF1UAAAAJ

&citation_for_view=fyViF1UAAAAJ:LkGwnXOMwfcC

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Published

2024-11-20

How to Cite

Santosh kumar. (2024). Advance Approach of Sentiment Analysis Using Machine Learning Approach. Journal of Computational Analysis and Applications (JoCAAA), 33(08), 9198–9213. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/5690