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Sentiment Analysis of Twitter Data Using Big Data Tools and Hadoop Ecosystem

  • Monica Malik
  • Sameena NaazEmail author
  • Iffat Rehman Ansari
Conference paper
Part of the Lecture Notes in Computational Vision and Biomechanics book series (LNCVB, volume 30)

Abstract

Sentiment analysis and opinion mining help in the analysis of people’s views, opinions, attitudes, emotions and sentiments. In this twenty-first century, huge amount of opinionated data recorded in the digital form is available for analysis. The demand of sentiment analysis occupies the same space with the growth of social media such as Twitter, Facebook, Quora, blogs, microblogs, Instagram and other social networks. In this research work, the most popular microblogging site ‘twitter’ has been used for sentiment analysis. People’s views, opinions, attitudes, emotions and sentiments on an outdoor game ‘Lawn Tennis’ have been used for the analysis. This is done by analysing people’s positive, neutral and negative reviews posted on Twitter. Through this it has been analysed that how many people around the world really like this game and how popular this game is in different countries.

Keywords

Big data Data mining Twitter Sentiment analysis Lawn tennis 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Monica Malik
    • 1
  • Sameena Naaz
    • 1
    Email author
  • Iffat Rehman Ansari
    • 2
  1. 1.Department of Computer Science and EngineeringSchool of Engineering Sciences and TechnologyNew DelhiIndia
  2. 2.University Women’s Polytechnic, Aligarh Muslim UniversityAligarhIndia

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