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An Overview of Different techniques of Sentiment Analysis

EasyChair Preprint no. 3312

6 pagesDate: May 2, 2020

Abstract

Sentiment analysis is one of the most active research areas in natural language processing and is also widely studied in data mining, Web mining, and text mining. The growing importance of sentiment analysis coincides with the growth of social media such as reviews, forum discussions, blogs, micro-blogs, Twitter, and social networks. This paper discusses about different Sentiment analysis methods used.

Keyphrases: Data Mining, Opinion Mining, qualitative Assurance, Sentiment Analysis, text mining, Web Mining

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@Booklet{EasyChair:3312,
  author = {Simranjot Kaur and Raman Maini},
  title = {An Overview of Different techniques of Sentiment Analysis},
  howpublished = {EasyChair Preprint no. 3312},

  year = {EasyChair, 2020}}
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