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Trending Pattern Analysis of Twitter Using Spark Streaming

  • Prachi GargEmail author
  • Rahul Johari
  • Hemang Kumar
  • Riya Bhatia
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 899)

Abstract

A method had been adopted to predict the trending patterns on the twitter in near-real time environment. These trending patterns help the companies to know their customers and to predict their brand awareness. The pattern was recognized by analyzing the tweets fetched in real time environment and by examining the most popular hashtags on the twitter platform in past few seconds. The work was implemented using a big data technology ‘Spark Streaming’. These hashtag patterns allow the people to follow the discussions on particular brand, event or any promotion. These hashtags are used by many companies as a signature tag to gain popularity of their brand on social networking platforms.

Keywords

Twitter patterns Twitter trends Popular hashtags Spark Streaming DStream 

Notes

Acknowledgments

We would like to thank our institution Guru Gobind Singh Indraprastha University for such a great exposure to accomplish such tasks and providing a strong platform to develop our skills and capabilities.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  • Prachi Garg
    • 1
    Email author
  • Rahul Johari
    • 1
  • Hemang Kumar
    • 1
  • Riya Bhatia
    • 1
  1. 1.Wireless Adhoc Network Group of Engineering and Research (WANGER) LabUniversity School of Information, Communication and Technology (USICT), Guru Gobind Singh Indraprastha UniversityDwarkaIndia

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