Affiliation:
1. Department of Information and Electronic Engineering, International Hellenic University (IHU), 57400 Thessaloniki, Greece
Abstract
Sentiment Analysis in text, especially text containing scientific citations, is an emerging research field with important applications in the research community. This review explores the field of sentiment analysis by focusing on the interpretation of citations, presenting a detailed description of techniques and methods ranging from lexicon-based approaches to Machine and Deep Learning models. The importance of understanding both the emotion and the intention behind citations is emphasized, reflecting their critical role in scientific communication. In addition, this study presents the challenges faced by researchers (such as complex scientific terminology, multilingualism, and the abstract nature of scientific discourse), highlighting the need for specialized language processing techniques. Finally, future research directions include improving the quality of datasets as well as exploring architectures and models to improve the accuracy of sentiment detection.
Reference47 articles.
1. A Survey on Sentiment Analysis Methods, Applications, and Challenges;Wankhade;Artif. Intell. Rev.,2022
2. A Survey on Sentiment Analysis of Scientific Citations;Yousif;Artif. Intell. Rev.,2019
3. Hernández, M., and Gómez, J.M. (2014, January 26). Survey in Sentiment, Polarity and Function Analysis of Citation. Proceedings of the First Workshop on Argumentation Mining, Baltimore, MD, USA.
4. Characteristics of a Literature as Predictors of Relatedness Between Cited and Citing Works;Bonzi;J. Am. Soc. Inf. Sci.,1982
5. Important Citation Identification Using Sentiment Analysis of In-Text Citations;Aljuaid;Telemat. Inform.,2021
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献