BL-LDA: Bringing bigram to supervised topic model

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

doi:10.1109/CSCI.2015.146

BL-LDA: Bringing bigram to supervised topic model

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

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

2 Citations (Scopus)

Abstract

With the increasing amount of data being published on the Web, it is difficult to analyze their content within a short time. Topic modeling techniques can summarize textual data that contains several topics. Both the label (such as category or tag) and word co-occurrence play a significant role in understanding textual data. However, many conventional topic modeling techniques are limited to the bag-of-words assumption. In this paper, we develop a probabilistic model called Bigram Labeled Latent Dirichlet Allocation (BL-LDA), to address the limitation of the bag-of-words assumption. The proposed BL-LDA incorporates the bigram into the Labeled LDA (L-LDA) technique. Extensive experiments on Yelp data show that the proposed scheme is better than the L-LDA in terms of accuracy.

Original language	English
Title of host publication	Proceedings - 2015 International Conference on Computational Science and Computational Intelligence, CSCI 2015
Editors	Quoc-Nam Tran, Leonidas Deligiannidis, Hamid R. Arabnia
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	83-88
Number of pages	6
ISBN (Electronic)	9781467397957
DOIs	https://doi.org/10.1109/CSCI.2015.146
Publication status	Published - 2016 Mar 2
Event	International Conference on Computational Science and Computational Intelligence, CSCI 2015 - Las Vegas, United States Duration: 2015 Dec 7 → 2015 Dec 9

Publication series

Name	Proceedings - 2015 International Conference on Computational Science and Computational Intelligence, CSCI 2015

Other

Other	International Conference on Computational Science and Computational Intelligence, CSCI 2015
Country/Territory	United States
City	Las Vegas
Period	15/12/7 → 15/12/9

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

Keywords

Data Analysis
Data Mining
Text Classification
Topic Modeling

ASJC Scopus subject areas

Computational Theory and Mathematics
Artificial Intelligence
Computer Networks and Communications
Hardware and Architecture
Signal Processing

Access to Document

10.1109/CSCI.2015.146

Cite this

Park, Y., Alam, M. H., Ryu, W. J., & Lee, S.-G. (2016). BL-LDA: Bringing bigram to supervised topic model. In Q.-N. Tran, L. Deligiannidis, & H. R. Arabnia (Eds.), Proceedings - 2015 International Conference on Computational Science and Computational Intelligence, CSCI 2015 (pp. 83-88). Article 7424068 (Proceedings - 2015 International Conference on Computational Science and Computational Intelligence, CSCI 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CSCI.2015.146

BL-LDA: Bringing bigram to supervised topic model. / Park, Youngsun; Alam, Md Hijbul; Ryu, Woo Jong et al.
Proceedings - 2015 International Conference on Computational Science and Computational Intelligence, CSCI 2015. ed. / Quoc-Nam Tran; Leonidas Deligiannidis; Hamid R. Arabnia. Institute of Electrical and Electronics Engineers Inc., 2016. p. 83-88 7424068 (Proceedings - 2015 International Conference on Computational Science and Computational Intelligence, CSCI 2015).

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

Park, Y, Alam, MH, Ryu, WJ & Lee, S-G 2016, BL-LDA: Bringing bigram to supervised topic model. in Q-N Tran, L Deligiannidis & HR Arabnia (eds), Proceedings - 2015 International Conference on Computational Science and Computational Intelligence, CSCI 2015., 7424068, Proceedings - 2015 International Conference on Computational Science and Computational Intelligence, CSCI 2015, Institute of Electrical and Electronics Engineers Inc., pp. 83-88, International Conference on Computational Science and Computational Intelligence, CSCI 2015, Las Vegas, United States, 15/12/7. https://doi.org/10.1109/CSCI.2015.146

Park Y, Alam MH, Ryu WJ, Lee SG. BL-LDA: Bringing bigram to supervised topic model. In Tran QN, Deligiannidis L, Arabnia HR, editors, Proceedings - 2015 International Conference on Computational Science and Computational Intelligence, CSCI 2015. Institute of Electrical and Electronics Engineers Inc. 2016. p. 83-88. 7424068. (Proceedings - 2015 International Conference on Computational Science and Computational Intelligence, CSCI 2015). doi: 10.1109/CSCI.2015.146

Park, Youngsun ; Alam, Md Hijbul ; Ryu, Woo Jong et al. / BL-LDA : Bringing bigram to supervised topic model. Proceedings - 2015 International Conference on Computational Science and Computational Intelligence, CSCI 2015. editor / Quoc-Nam Tran ; Leonidas Deligiannidis ; Hamid R. Arabnia. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 83-88 (Proceedings - 2015 International Conference on Computational Science and Computational Intelligence, CSCI 2015).

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BL-LDA: Bringing bigram to supervised topic model

Abstract

Publication series

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Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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