Techniques of Opinion Mining and Sentiment Analysis: A Survey

Authors

  • D. Vidhya PG Scholar
  • G. Sivaselvan Asst. Prof, Department of Computer Science and Engineering, K.S.R. College of Engineering, Tiruchencode
  • V. Vennila Asst. Prof, Department of Computer Science and Engineering, K.S.R. College of Engineering, Tiruchencode

Keywords:

Clustering, Feature Extraction Techniques, Naïve Bayes Classifiers, Opinion Mining, Support Vector Machines

Abstract

Sentiment analysis is the most emerging field, that extract the customer's opinion about particular product or service. In order to enhance the sales of a product and to improve the customer satisfaction, most of the on-line shopping sites provide the opportunity for customers to write reviews about products. For a popular product, the number of reviews can be in hundreds. Due to immense amount of customer’s opinions, views and feedback available, it is very much significant to analyse, explore and organize their views for better decision making. Opinion Mining or Sentiment Analysis is the mining of opinions and sentiments automatically from text, speech, and database sources through Natural Language Processing (NLP). This survey paper gives an outline of the techniques that classify the opinions as positive or negative.

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Published

2023-05-20

How to Cite

Vidhya, D., Sivaselvan, G., & Vennila, V. (2023). Techniques of Opinion Mining and Sentiment Analysis: A Survey. International Journal of Communication and Computer Technologies, 3(2), 72–78. Retrieved from https://ijccts.org/index.php/pub/article/view/53

Issue

Section

Research Article