Identification of Relevant Hashtags for Planned Events Using Learning to Rank

Madisetty, Sreekanth and Desarkar, Maunendra Sankar (2019) Identification of Relevant Hashtags for Planned Events Using Learning to Rank. In: 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K, 1-3 November 2017, Funchal, Portugal.

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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.

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IITH Creators:
IITH CreatorsORCiD
Desarkar, Maunendra SankarUNSPECIFIED
Item Type: Conference or Workshop Item (Paper)
Subjects: Computer science
Divisions: Department of Computer Science & Engineering
Depositing User: Team Library
Date Deposited: 23 Apr 2019 07:20
Last Modified: 23 Apr 2019 07:20
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