An Advanced Approach of Sentiment Analysis of Big Data Using Machine Learning Approach

Authors

  • Santosh kumar

Keywords:

Sentiment analysis, Big data, Machine learning, Deep learning, Natural language processing, Social media analytics, Data mining, Artificial intelligence, Text classification, Opinion mining

Abstract

Sentiment analysis has emerged as a critical component of big data analytics, enabling organizations toextract meaningful insights from vast amounts of unstructured textual data. This research presents anadvanced approach to sentiment analysis using machine learning techniques specifically designed for big data environments. The exponential growth of social media

References

Ahamad, R., & Mishra, K.N. (2025). Exploring sentiment analysis in handwritten and E-text documents using advanced machine learning techniques: a novel approach. Journal of Big Data, 12(1), 11. Available at: https://journalofbigdata.springeropen.com/articles/10.1186/s40537-025-01064-2

Penfriend AI. (2024). Sentiment Analysis: A Comprehensive, Data-Backed Guide For 2024. Retrieved from https://penfriend.ai/blog/sentiment-analysis

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Published

2023-04-20

How to Cite

Santosh kumar. (2023). An Advanced Approach of Sentiment Analysis of Big Data Using Machine Learning Approach. Journal of Computational Analysis and Applications (JoCAAA), 31(4), 1643–1659. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/3600

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Section

Articles