Opinion Mining / Sentiment Analysis for User Reviews

EasyChair Preprint 2682

Abstract

Sentiment analysis or opinion mining is the study in which it analyzes people's opinions, sentiments, evaluations, attitudes, and emotions from natural written language. It is an active research area in natural language processing and in the field of data mining. It has grown widely due to its importance to business and society. The sentiment analysis is used widely in the field of social media and other reviewing systems. In this paper, by using the K-Nearest Neighbour algorithm, the sentiment analysis is used for reviewing a system.

Keyphrases: Levenshtein distance, Natural Language Processing(NLP)., Opinion Mining, Sentiment Analysis, Sentiments, polarity, user review

@booklet{EasyChair:2682,
  author    = {Liya Mathew and Ann Dona James and Anjima Shaji and Sona Maria Sebastian},
  title     = {Opinion Mining / Sentiment Analysis for User Reviews},
  howpublished = {EasyChair Preprint 2682},
  year      = {EasyChair, 2020}}