Context over time: Modeling context evolution in social media

Md Hijbul Alam; Woo Jong Ryu; Sang-Geun Lee

doi:10.1145/2665994.2665996

Context over time: Modeling context evolution in social media

Md Hijbul Alam
, Woo Jong Ryu
, Sang-Geun Lee

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

5 Citations (Scopus)

Abstract

The rise of online social media has led to an explosion in user-generated content. However, user-generated content is difficult to analyze in isolation from its context. Accordingly, context detection and tracking its evolution is essential to understanding social media. This paper presents a statistical model that can detect interpretable topics along with their contexts. A topic is represented by a cluster of words that frequently occur together, and a context is represented by a cluster of hashtags that frequently occur with a topic. The model combines a context with a related topic by jointly modeling words with hashtags and time. Experiments on real datasets demonstrate that the proposed model successfully discovers both meaningful topics and contexts, and tracks their evolution.

Original language	English
Title of host publication	DUBMOD 2014 - Proceedings of the 3rd Workshop on Data-Driven User Behavioral Modeling and Mining from Social Media, co-located with CIKM 2014
Publisher	Association for Computing Machinery
Pages	15-18
Number of pages	4
Edition	November
ISBN (Electronic)	9781450313032, 9781450316064
DOIs	https://doi.org/10.1145/2665994.2665996
Publication status	Published - 2014 Nov 3
Event	3rd Workshop on Data-Driven User Behavioral Modeling and Mining from Social Media, DUBMOD 2014, Co-located with 23rd ACM Conference on Information and Knowledge Management, CIKM 2014 - Shanghai, China Duration: 2014 Nov 3 → …

Publication series

Name	International Conference on Information and Knowledge Management, Proceedings
Number	November
Volume	2014-November

Other

Other	3rd Workshop on Data-Driven User Behavioral Modeling and Mining from Social Media, DUBMOD 2014, Co-located with 23rd ACM Conference on Information and Knowledge Management, CIKM 2014
Country/Territory	China
City	Shanghai
Period	14/11/3 → …

Bibliographical note

Publisher Copyright:
Copyright © 2014 by the Association for Computing Machinery, Inc. (ACM).

Keywords

Context and topic evolution
Social media
Topic model

ASJC Scopus subject areas

General Business,Management and Accounting
General Decision Sciences

Access to Document

10.1145/2665994.2665996

Cite this

Alam, M. H., Ryu, W. J., & Lee, S.-G. (2014). Context over time: Modeling context evolution in social media. In DUBMOD 2014 - Proceedings of the 3rd Workshop on Data-Driven User Behavioral Modeling and Mining from Social Media, co-located with CIKM 2014 (November ed., pp. 15-18). (International Conference on Information and Knowledge Management, Proceedings; Vol. 2014-November, No. November). Association for Computing Machinery. https://doi.org/10.1145/2665994.2665996

Context over time: Modeling context evolution in social media. / Alam, Md Hijbul; Ryu, Woo Jong; Lee, Sang-Geun.
DUBMOD 2014 - Proceedings of the 3rd Workshop on Data-Driven User Behavioral Modeling and Mining from Social Media, co-located with CIKM 2014. November. ed. Association for Computing Machinery, 2014. p. 15-18 (International Conference on Information and Knowledge Management, Proceedings; Vol. 2014-November, No. November).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Alam, MH, Ryu, WJ & Lee, S-G 2014, Context over time: Modeling context evolution in social media. in DUBMOD 2014 - Proceedings of the 3rd Workshop on Data-Driven User Behavioral Modeling and Mining from Social Media, co-located with CIKM 2014. November edn, International Conference on Information and Knowledge Management, Proceedings, no. November, vol. 2014-November, Association for Computing Machinery, pp. 15-18, 3rd Workshop on Data-Driven User Behavioral Modeling and Mining from Social Media, DUBMOD 2014, Co-located with 23rd ACM Conference on Information and Knowledge Management, CIKM 2014, Shanghai, China, 14/11/3. https://doi.org/10.1145/2665994.2665996

Alam MH, Ryu WJ, Lee SG. Context over time: Modeling context evolution in social media. In DUBMOD 2014 - Proceedings of the 3rd Workshop on Data-Driven User Behavioral Modeling and Mining from Social Media, co-located with CIKM 2014. November ed. Association for Computing Machinery. 2014. p. 15-18. (International Conference on Information and Knowledge Management, Proceedings; November). doi: 10.1145/2665994.2665996

Alam, Md Hijbul ; Ryu, Woo Jong ; Lee, Sang-Geun. / Context over time : Modeling context evolution in social media. DUBMOD 2014 - Proceedings of the 3rd Workshop on Data-Driven User Behavioral Modeling and Mining from Social Media, co-located with CIKM 2014. November. ed. Association for Computing Machinery, 2014. pp. 15-18 (International Conference on Information and Knowledge Management, Proceedings; November).

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Context over time: Modeling context evolution in social media

Abstract

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Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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