Evaluating the choice of tags in CQA sites

Rohan Banerjee; Sailaja Rajanala; Manish Singh

doi:10.1007/978-3-030-18576-3_37

Evaluating the choice of tags in CQA sites

Rohan Banerjee, Sailaja Rajanala, Manish Singh

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

Abstract

Tags play a crucial role in CQA sites by facilitating organization, indexing and categorization of the entire post in a few words. The choice of tags determines the audience that is elicited upon to seek a response for any particular post. This could either lead to receiving an accurate response for the question or result in receiving no answers. The choice of tags, thus, directly determines the quality of the post as well as to a large extent the success of the CQA site itself. In this paper, we a present a novel approach to evaluate the choice of tags in any post. We perform tag network analysis to find relationship between tags. We then find the anomalous combination of tags by performing anomaly detection. We demonstrate the robustness of our approach by showing high AUC, in the range of 0.95 to 0.98, on four datasets from Stack Exchange, namely Ask Ubuntu, Server Fault, Super User and Software Engineering.

Original language	English
Title of host publication	Database Systems for Advanced Applications - 24th International Conference, DASFAA 2019 Chiang Mai, Thailand, April 22–25, 2019 Proceedings, Part I
Editors	Guoliang Li, Jun Yang, Joao Gama, Juggapong Natwichai, Yongxin Tong
Place of Publication	Cham Switzerland
Publisher	Springer-Verlag London Ltd.
Pages	625-640
Number of pages	16
ISBN (Electronic)	9783030185763
ISBN (Print)	9783030185756
DOIs	https://doi.org/10.1007/978-3-030-18576-3_37
Publication status	Published - 2019
Externally published	Yes
Event	Database Systems for Advanced Applications 2019 - Chiang Mai, Thailand Duration: 22 Apr 2019 → 25 Apr 2019 Conference number: 24th https://dasfaa2019.eng.cmu.ac.th/ https://link.springer.com/book/10.1007/978-3-030-18576-3 (Proceedings)

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer
Volume	11446
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	Database Systems for Advanced Applications 2019
Abbreviated title	DASFAA 2019
Country/Territory	Thailand
City	Chiang Mai
Period	22/04/19 → 25/04/19
Internet address	https://dasfaa2019.eng.cmu.ac.th/ https://link.springer.com/book/10.1007/978-3-030-18576-3 (Proceedings)

Keywords

Anomaly detection
CQA sites
Tag network

Access to Document

10.1007/978-3-030-18576-3_37

Cite this

Banerjee, R., Rajanala, S., & Singh, M. (2019). Evaluating the choice of tags in CQA sites. In G. Li, J. Yang, J. Gama, J. Natwichai, & Y. Tong (Eds.), Database Systems for Advanced Applications - 24th International Conference, DASFAA 2019 Chiang Mai, Thailand, April 22–25, 2019 Proceedings, Part I (pp. 625-640). (Lecture Notes in Computer Science; Vol. 11446). Springer-Verlag London Ltd.. https://doi.org/10.1007/978-3-030-18576-3_37

Banerjee, Rohan ; Rajanala, Sailaja ; Singh, Manish. / Evaluating the choice of tags in CQA sites. Database Systems for Advanced Applications - 24th International Conference, DASFAA 2019 Chiang Mai, Thailand, April 22–25, 2019 Proceedings, Part I. editor / Guoliang Li ; Jun Yang ; Joao Gama ; Juggapong Natwichai ; Yongxin Tong. Cham Switzerland : Springer-Verlag London Ltd., 2019. pp. 625-640 (Lecture Notes in Computer Science).

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abstract = "Tags play a crucial role in CQA sites by facilitating organization, indexing and categorization of the entire post in a few words. The choice of tags determines the audience that is elicited upon to seek a response for any particular post. This could either lead to receiving an accurate response for the question or result in receiving no answers. The choice of tags, thus, directly determines the quality of the post as well as to a large extent the success of the CQA site itself. In this paper, we a present a novel approach to evaluate the choice of tags in any post. We perform tag network analysis to find relationship between tags. We then find the anomalous combination of tags by performing anomaly detection. We demonstrate the robustness of our approach by showing high AUC, in the range of 0.95 to 0.98, on four datasets from Stack Exchange, namely Ask Ubuntu, Server Fault, Super User and Software Engineering.",

keywords = "Anomaly detection, CQA sites, Tag network",

author = "Rohan Banerjee and Sailaja Rajanala and Manish Singh",

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Banerjee, R, Rajanala, S & Singh, M 2019, Evaluating the choice of tags in CQA sites. in G Li, J Yang, J Gama, J Natwichai & Y Tong (eds), Database Systems for Advanced Applications - 24th International Conference, DASFAA 2019 Chiang Mai, Thailand, April 22–25, 2019 Proceedings, Part I. Lecture Notes in Computer Science, vol. 11446, Springer-Verlag London Ltd., Cham Switzerland, pp. 625-640, Database Systems for Advanced Applications 2019, Chiang Mai, Thailand, 22/04/19. https://doi.org/10.1007/978-3-030-18576-3_37

Evaluating the choice of tags in CQA sites. / Banerjee, Rohan; Rajanala, Sailaja; Singh, Manish.
Database Systems for Advanced Applications - 24th International Conference, DASFAA 2019 Chiang Mai, Thailand, April 22–25, 2019 Proceedings, Part I. ed. / Guoliang Li; Jun Yang; Joao Gama; Juggapong Natwichai; Yongxin Tong. Cham Switzerland: Springer-Verlag London Ltd., 2019. p. 625-640 (Lecture Notes in Computer Science; Vol. 11446).

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

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AU - Singh, Manish

N1 - Conference code: 24th

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N2 - Tags play a crucial role in CQA sites by facilitating organization, indexing and categorization of the entire post in a few words. The choice of tags determines the audience that is elicited upon to seek a response for any particular post. This could either lead to receiving an accurate response for the question or result in receiving no answers. The choice of tags, thus, directly determines the quality of the post as well as to a large extent the success of the CQA site itself. In this paper, we a present a novel approach to evaluate the choice of tags in any post. We perform tag network analysis to find relationship between tags. We then find the anomalous combination of tags by performing anomaly detection. We demonstrate the robustness of our approach by showing high AUC, in the range of 0.95 to 0.98, on four datasets from Stack Exchange, namely Ask Ubuntu, Server Fault, Super User and Software Engineering.

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Banerjee R, Rajanala S, Singh M. Evaluating the choice of tags in CQA sites. In Li G, Yang J, Gama J, Natwichai J, Tong Y, editors, Database Systems for Advanced Applications - 24th International Conference, DASFAA 2019 Chiang Mai, Thailand, April 22–25, 2019 Proceedings, Part I. Cham Switzerland: Springer-Verlag London Ltd. 2019. p. 625-640. (Lecture Notes in Computer Science). doi: 10.1007/978-3-030-18576-3_37

Evaluating the choice of tags in CQA sites

Abstract

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Keywords

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