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Identification of Relevant Hashtags for Planned Events Using Learning to Rank

  • Sreekanth MadisettyEmail author
  • Maunendra Sankar Desarkar
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 976)

Abstract

Lots of planned events (e.g. concerts, sports matches, festivals, etc.) keep happening across the world every day. In various applications like event recommendation, event reporting, etc. it might be useful to find user discussions related to such events from social media. Identification of event related hashtags can be useful for this purpose. In this paper, we focus on identifying the top hashtags related to a given event. We define a set of features for (event, hashtag) pairs, and discuss ways to obtain these feature scores. A linear aggregation of these scores is used to finally output a ranked list of top hashtags for the event. The aggregation weights of the features are obtained using a learning to rank algorithm. We establish the superiority of our method by performing detailed experiments on a large dataset containing multiple categories of events and related tweets.

Keywords

Social media Information Retrieval Learning to rank Hashtags Twitter 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Sreekanth Madisetty
    • 1
    Email author
  • Maunendra Sankar Desarkar
    • 1
  1. 1.Department of Computer Science and EngineeringIndian Institute of Technology HyderabadHyderabadIndia

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