Sentiment Analysis: Unveiling Emotions in Text

Vaishali Anilkumar; Sudharsan S

Sentiment Analysis: Unveiling Emotions in Text

September 2024

Vol-10, Issue-5

Paper ID: 24988

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

Computer science

Keywords

Sentiment Analysis Option Mining NLP Machine Learning Social Media Monitoring

Abstract

Sentiment analysis, or opinion mining, is an essential task in Natural Language Processing (NLP) aimed at identifying and analyzing the emotional tone embedded in textual data. This paper explores the various techniques in sentiment analysis, including rule-based, machine learning, and deep learning approaches. It also highlights the broad range of applications in industries such as marketing, healthcare, financial markets, and customer service. Despite advancements, several challenges persist, including context interpretation, sarcasm detection, and multilingual support. Finally, the paper discusses future trends like real-time sentiment analysis, cross-domain analysis, and ethical considerations in sentiment analysis.

License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author Information

#	Name	Institute / Affiliation
1	Vaishali Anilkumar	CMR University
2	Sudharsan S	CMR University

How to Cite

Use the following formats to cite this article in your research.

APA Style

Anilkumar, Vaishali & S, Sudharsan (2024). Sentiment Analysis: Unveiling Emotions in Text. International Journal of Advance Research and Innovative Ideas In Education, 10(5), 657-663.

MLA Style

Anilkumar, Vaishali, and Sudharsan S. "Sentiment Analysis: Unveiling Emotions in Text." International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 5, 2024, pp. 657-663.

IEEE Style

Vaishali Anilkumar and Sudharsan S, "Sentiment Analysis: Unveiling Emotions in Text," International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 5, pp. 657-663, 2024.

Vancouver Style

Anilkumar Vaishali, S Sudharsan. Sentiment Analysis: Unveiling Emotions in Text. International Journal of Advance Research and Innovative Ideas In Education. 2024;10(5):657-663.

Harvard Style

Anilkumar, Vaishali & S, Sudharsan (2024) 'Sentiment Analysis: Unveiling Emotions in Text', International Journal of Advance Research and Innovative Ideas In Education, 10(5), pp. 657-663.

Chicago Style

Anilkumar, Vaishali and Sudharsan S. "Sentiment Analysis: Unveiling Emotions in Text." International Journal of Advance Research and Innovative Ideas In Education 10, no. 5 (2024): 657-663.

Turabian Style

Anilkumar, Vaishali and Sudharsan S. "Sentiment Analysis: Unveiling Emotions in Text." International Journal of Advance Research and Innovative Ideas In Education 10, no. 5 (2024): 657-663.