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Authors: Sreekanth Madisetty and Maunendra Sankar Desarkar

Affiliation: IIT Hyderabad, India

ISBN: 978-989-758-271-4

Keyword(s): Social Media, Information Retrieval, Learning to Rank, Twitter.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Business Analytics ; Computational Intelligence ; Data Analytics ; Data Engineering ; Evolutionary Computing ; Information Extraction ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Machine Learning ; Mining Text and Semi-Structured Data ; Soft Computing ; Symbolic Systems

Abstract: Users in social media often participate in discussions regarding different events happening in the physical world (e.g., concerts, conferences, festivals) by posting messages, replying to or forwarding messages related to such events. In various applications like event recommendation, event reporting, etc. it might be useful to find user discussions related to such events from social media. Finding event related hashtags can be useful for this purpose. In this paper, we focus on the problem of finding relevant hashtags for a given event. Features are defined to identify the event related hashtags. We specifically look for features that use similarities of the hashtags with the event metadata attributes. A learning to rank algorithm is applied to learn the importance weights of the features towards the task of predicting the relevance of a hashtag to the given event. We experimented on events from four different categories (namely, Award ceremonies, E-commerce events, Festivals, and Pr oduct launches). Experimental results show that our method significantly outperforms the baseline methods. (More)

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Paper citation in several formats:
Madisetty, S. and Desarkar, M. (2017). Exploiting Meta Attributes for Identifying Event Related Hashtags.In Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR, ISBN 978-989-758-271-4, pages 238-245. DOI: 10.5220/0006502602380245

@conference{kdir17,
author={Sreekanth Madisetty. and Maunendra Sankar Desarkar.},
title={Exploiting Meta Attributes for Identifying Event Related Hashtags},
booktitle={Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR,},
year={2017},
pages={238-245},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006502602380245},
isbn={978-989-758-271-4},
}

TY - CONF

JO - Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR,
TI - Exploiting Meta Attributes for Identifying Event Related Hashtags
SN - 978-989-758-271-4
AU - Madisetty, S.
AU - Desarkar, M.
PY - 2017
SP - 238
EP - 245
DO - 10.5220/0006502602380245

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