Mining Opinions by Means of User Reactions

Nowadays, the social network is enhanced through people interacting with each other and sharing feelings, comments, views, experiences, opinions, and comments about anything. Since there are so many web resources available in digital form for expressing one's viewpoint, like review sites, blogs...

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Bibliographic Details
Published in2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT) pp. 1 - 6
Main Authors Srivastava, Sarthak, Kamra, Anchal
Format Conference Proceeding
LanguageEnglish
Published IEEE 06.07.2023
Subjects
Analytical models
Blogs
Computational modeling
Information systems
Opinion
Opinion Mining
Real-time systems
Reviews
Sentiment analysis
Social networking (online)
Techniques
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Summary:Nowadays, the social network is enhanced through people interacting with each other and sharing feelings, comments, views, experiences, opinions, and comments about anything. Since there are so many web resources available in digital form for expressing one's viewpoint, like review sites, blogs, and forums on discussion, the importance of sentimental analysis and opinion mining has significantly grown up. Sentiment Analysis is a subfield of Natural Language Processing that is concerned with determining the views of individuals about an article or subject. Sentiment Analysis, frequently recognized as Opinion Mining, is the process of gathering and analyzing customer opinions on a product expressed in blog posts, comments, or reviews. At present, there are some challenges in opinion mining techniques. Firstly, is an opinion that is taken as good in a situation but can also be considered bad in another circumstance? Secondly, the public doesn't usually put forward opinions in an alike manner. This paper presents an overview of the work done in the past and also about the proposed work.
ISSN:2473-7674
DOI:10.1109/ICCCNT56998.2023.10307744