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Sentiment Analysis on Hindi Content: a Survey

EasyChair Preprint no. 5690

9 pagesDate: June 3, 2021

Abstract

Sentiment analysis means analyzing the sentiment information in order to draw the conclusion and understand the overall situation. In order to understand data machine needs to understand what are sentiments from the input like product review, movie review, news review, comments from blogs or any social website and give output as positive or negative or neutral review. Various algorithms and classifiers are present for sentiment analysis. This paper gives a survey of various approaches used specifically for Hindi language.

Keyphrases: Classifier, Natural Language Processing., Sentiment Analysis, Sentiments

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@Booklet{EasyChair:5690,
  author = {Priyanka Mishra and Shilpa Agnihotri},
  title = {Sentiment Analysis on Hindi Content: a Survey},
  howpublished = {EasyChair Preprint no. 5690},

  year = {EasyChair, 2021}}
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