Techniques of Opinion Mining: A Review

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Published: 20-06-2024
DOI: https://doi.org/10.37391/
Keywords:
Opinion mining, unsupervised learning, supervised learning, classification

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Gurkamalpreet Kaur
Lovely Professional University image/svg+xml
Arjinder Singh
Lovely Professional University image/svg+xml

Abstract

Opinion or Sentiment mining allude to identify and analyze the opinion or viewpoint of the internet user expressed toward a particular topic. Opinion mining focuses on what people think and feels. Analyses of viewpoint provide useful information regarding people interest to the business analyst and other interested parties. There are various unsupervised and supervised learning techniques available for opinion mining for e.g. naïve bayes, support vector machine (SVM), wordnet etc. This paper focuses on the various opinion mining techniques available and related work done in opinion mining area.

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Article Details

Issue

Vol. 2 No. 2 (2023): IJCSR (Jun. 2023)

Section

Articles
Creative Commons License

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

Author Biographies

Gurkamalpreet Kaur, Lovely Professional University

Research Scholar, Department of Computer Science, Lovely Professional University, Jalandhar, India

Arjinder Singh, Lovely Professional University

Assistant Professor, Department of Computer Science, Lovely Professional University, Jalandhar, India

How to Cite

[1]
“Techniques of Opinion Mining: A Review”, IJCSR, vol. 2, no. 2, pp. 54–58, Jun. 2024, doi: 10.37391/.

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