A Review on Sentiment and Emotion Analysis for Computational Literary Studies

Authors

  • Nasrullah Makhdom  M.Tech. Student, Department of CSE, ITM University Gwalior, Madhya Pradesh, India
  • H N Verma  Associate Professor, Department of CSE, ITM University Gwalior, Madhya Pradesh, India
  • Arun Kumar Yadav  Associate Professor, Department of CSE, ITM University Gwalior, Madhya Pradesh, India

DOI:

https://doi.org//10.32628/CSEIT241029

Keywords:

Sentiment Analysis, Emotion Analysis, Digital Humanities, Computational Literature, Opinion Mining.

Abstract

In sentiment analysis, emotions refer to the subjective feelings expressed in a text or speech that can be classified as positive, negative or neutral. Emotions are an important aspect of sentiment analysis because they provide insights into the attitudes, opinions and behaviors of individuals toward a particular topic or entity. The emergence of digital humanities has allowed for a more computational approach to understanding emotions in literature. The passage provides an overview of existing research in this area and understanding the emotionality involved in text. Throughout this survey, it has been demonstrated that sentiment and emotion analysis is increasingly attracting attention within the field of digital humanities, particularly in computational literary studies.

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Published

2024-04-30

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Section

Research Articles

How to Cite

[1]
Nasrullah Makhdom, H N Verma, Arun Kumar Yadav, " A Review on Sentiment and Emotion Analysis for Computational Literary Studies, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 10, Issue 2, pp.107-119, March-April-2024. Available at doi : https://doi.org/10.32628/CSEIT241029