A Review on Sentiment and Emotion Analysis for Computational Literary Studies

Nasrullah Makhdom, H N Verma and Arun Kumar Yadav

International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 2024, vol. 10, issue 2, 107-119

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.

Keywords: Sentiment Analysis; Emotion Analysis; Digital Humanities; Computational Literature; Opinion Mining (search for similar items in EconPapers)
Date: 2024
Note: Article URL: https://ijsrcseit.com/home/article/view/CSEIT241029
References: Add references at CitEc
Citations:

Downloads: (external link)
https://ijsrcseit.com/home/article/view/CSEIT241029 Article URL (text/html)
https://ijsrcseit.com/home/article/download/CSEIT241029/CSEIT241029 Full text (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:jbh:ijsrcs:v10:y2024:i2:id:16

DOI: 10.32628/CSEIT241029

Access Statistics for this article

More articles in International Journal of Scientific Research in Computer Science, Engineering and Information Technology from International Journal of Scientific Research in Computer Science, Engineering and Information Technology
Bibliographic data for series maintained by Pankaj Sharma (USA) ().