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Sentiment Analysis Using Lexicon and Machine Learning-Based Approaches: A Survey

  • Binita VermaEmail author
  • Ramjeevan Singh Thakur
Conference paper
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 34)

Abstract

Sentiment analysis is the process of automatic identification of people’s orientation toward individuals, products, services, issues, and events. Task of sentiment analysis requires mining of textual data through natural language processing (NLP). Text method of communication like tweets blog is necessary to examine the emotion of user by studying the input text. Sentiment analysis of social networking sites is a way to identify the user’s opinion. Determination of opinion and strength of the sentiment of user toward entity is growing need of current times. In this paper, a survey on sentiment analysis is done. Text reviews, techniques, lexicon, and machine learning approaches are discussed.

Keywords

Sentiment analysis Machine learning technique Lexicon-based technique Hybrid technique 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.BUBhopalIndia
  2. 2.Department of Computer Application and MathematicsMaulana Azad National Intitute of TechnologyBhopalIndia

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