Personalizing large-scale text classification by modeling individual differences

Jungho Lee; Byung Ju Choi; Yeachan Kim; Kang Min Kim; Woo Jong Ryu; Sangkeun Lee

doi:10.1145/3341105.3374075

Personalizing large-scale text classification by modeling individual differences

Jungho Lee, Byung Ju Choi, Yeachan Kim, Kang Min Kim, Woo Jong Ryu, Sangkeun Lee

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

Abstract

Large-scale text classification is used to organize and subsequently, analyze textual information into a variety of topics effectively. However, most of existing large-scale text classification models tend to draw similar classification results without accounting for the differences in individual perceptions, as may be discernable through the text semantics based on distinct human characteristics. In this paper, we propose a personalized large-scale text classification model, which factors in these individual differences when classifying data.

Original language	English
Title of host publication	35th Annual ACM Symposium on Applied Computing, SAC 2020
Publisher	Association for Computing Machinery
Pages	900-902
Number of pages	3
ISBN (Electronic)	9781450368667
DOIs	https://doi.org/10.1145/3341105.3374075
Publication status	Published - 2020 Mar 30
Event	35th Annual ACM Symposium on Applied Computing, SAC 2020 - Brno, Czech Republic Duration: 2020 Mar 30 → 2020 Apr 3

Publication series

Name	Proceedings of the ACM Symposium on Applied Computing

Conference

Conference	35th Annual ACM Symposium on Applied Computing, SAC 2020
Country/Territory	Czech Republic
City	Brno
Period	20/3/30 → 20/4/3

Bibliographical note

Publisher Copyright:
© 2020 Owner/Author.

Keywords

Large-scale text classification
Personalization
User modeling

ASJC Scopus subject areas

Software

Access to Document

10.1145/3341105.3374075

Cite this

Personalizing large-scale text classification by modeling individual differences. / Lee, Jungho; Choi, Byung Ju; Kim, Yeachan et al.
35th Annual ACM Symposium on Applied Computing, SAC 2020. Association for Computing Machinery, 2020. p. 900-902 (Proceedings of the ACM Symposium on Applied Computing).

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

Lee, J, Choi, BJ, Kim, Y, Kim, KM, Ryu, WJ & Lee, S 2020, Personalizing large-scale text classification by modeling individual differences. in 35th Annual ACM Symposium on Applied Computing, SAC 2020. Proceedings of the ACM Symposium on Applied Computing, Association for Computing Machinery, pp. 900-902, 35th Annual ACM Symposium on Applied Computing, SAC 2020, Brno, Czech Republic, 20/3/30. https://doi.org/10.1145/3341105.3374075

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Personalizing large-scale text classification by modeling individual differences

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this