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Classification of Tweets Using Dictionary and Lexicon Based Approaches

  • K. JayamaliniEmail author
  • M. Ponnavaikko
Conference paper
Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 38)

Abstract

Online social media is pervasive in nature. It allows people to use short text messages, images, audios and videos to express their opinions and sentiments about products, events and other people. For example, Twitter is an online social networking and news service where users post and interact with small and short messages, called “tweets”. Therefore, nowadays social media become a potential source for business and celebrities to find people’s sentiments and opinions about a particular event or product or themselves.

Social media analysis is the process of gathering enormous amount of digital contents generated online from blogs sites and social media networks and examining them to find the insights.

This paper focuses on discovering public opinions and sentiments he on the results of Indian election results declared recently. This Paper also deals Dictionary based Approach and Affective Lexicon based approaches which were used to find the public opinion about election results.

Keywords

Social media data Opinion Mining (OM) Sentiment Analysis (SA) Sentiment Analyzer 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Computer Science EngineeringBharath UniversityChennaiIndia
  2. 2.Shree L.R. Tiwari College of EngineeringMumbaiIndia
  3. 3.Vinayaka Mission’s Research Foundation, AV CampusChennaiIndia

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