2015 LeveragingSocialContextforModel

(Kalyanam et al., 2015) ⇒ Janani Kalyanam, Amin Mantrach, Diego Saez-Trumper, Hossein Vahabi, and Gert Lanckriet. (2015). “Leveraging Social Context for Modeling Topic Evolution.” In: Proceedings of the 21st ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2015). ISBN:978-1-4503-3664-2 doi:10.1145/2783258.2783319

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Collective factorization; social networks; text processing; topic discovery; topic monitoring; topic tracking

Abstract

Topic discovery and evolution (TDE) has been a problem which has gained long standing interest in the research community. The goal in topic discovery is to identify groups of keywords from large corpora so that the information in those corpora are summarized succinctly. The nature of text corpora has changed dramatically in the past few years with the advent of social media. Social media services allow users to constantly share, follow and comment on posts from other users. Hence, such services have given a new dimension to the traditional text corpus. The new dimension being that today's corpora have a social context embedded in them in terms of the community of users interested in a particular post, their profiles etc. We wish to harness this social context that comes along with the textual content for TDE. In particular, our goal is to both qualitatively and quantitatively analyze when social context actually helps with TDE. Methodologically, we approach the problem of TDE by a proposing non-negative matrix factorization (NMF) based model that incorporates both the textual information and social context information. We perform experiments on large scale real world dataset of news articles, and use Twitter as the platform providing information about the social context of these news articles. We compare with and outperform several state-of-the-art baselines. Our conclusion is that using the social context information is most useful when faced with topics that are particularly difficult to detect.

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2015 LeveragingSocialContextforModel	Amin Mantrach Diego Saez-Trumper Janani Kalyanam Hossein Vahabi Gert Lanckriet			Leveraging Social Context for Modeling Topic Evolution				10.1145/2783258.2783319		2015