Potential topics discovery from topic frequency transition with semi-supervised learning

Yoshiaki Yasumura; Hiroyoshi Takahashi; Kuniaki Uehara

doi:10.1007/978-3-642-28490-8_50

Potential topics discovery from topic frequency transition with semi-supervised learning

Yoshiaki Yasumura, Hiroyoshi Takahashi, Kuniaki Uehara

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

1 Citation (Scopus)

Abstract

This paper presents a method for potential topic discovery from blogsphere. A potential topic is defined as an unpopular phrase that has potential to spread through many blogs. To discover potential topics, this method learns from topic frequency transitions in blog articles. Though this learning requires sufficient amount of labeled data, labeled data is costly and time consuming. Therefore this method employs a semi-supervised learning to reduce labeling cost. First, this method extracts candidates of potential topics from categorized blog articles. To detect potential topics from the candidates, a classifier is built from topic frequency transition data. Experimental results with real world data show the effectiveness of the proposed method.

Original language	English
Title of host publication	Intelligent Information and Database Systems - 4th Asian Conference, ACIIDS 2012, Proceedings
Pages	477-486
Number of pages	10
Edition	PART 2
DOIs	https://doi.org/10.1007/978-3-642-28490-8_50
Publication status	Published - 2012 Mar 27
Event	4th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2012 - Kaohsiung, Taiwan, Province of China Duration: 2012 Mar 19 → 2012 Mar 21

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 2
Volume	7197 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	4th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2012
Country/Territory	Taiwan, Province of China
City	Kaohsiung
Period	12/3/19 → 12/3/21

Keywords

Web mining
potential topic
semi-supervised learning
topic frequency transition

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/978-3-642-28490-8_50

Cite this

Yasumura, Y., Takahashi, H., & Uehara, K. (2012). Potential topics discovery from topic frequency transition with semi-supervised learning. In Intelligent Information and Database Systems - 4th Asian Conference, ACIIDS 2012, Proceedings (PART 2 ed., pp. 477-486). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7197 LNAI, No. PART 2). https://doi.org/10.1007/978-3-642-28490-8_50

Potential topics discovery from topic frequency transition with semi-supervised learning. / Yasumura, Yoshiaki; Takahashi, Hiroyoshi; Uehara, Kuniaki.
Intelligent Information and Database Systems - 4th Asian Conference, ACIIDS 2012, Proceedings. PART 2. ed. 2012. p. 477-486 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7197 LNAI, No. PART 2).

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

Yasumura, Y, Takahashi, H & Uehara, K 2012, Potential topics discovery from topic frequency transition with semi-supervised learning. in Intelligent Information and Database Systems - 4th Asian Conference, ACIIDS 2012, Proceedings. PART 2 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 2, vol. 7197 LNAI, pp. 477-486, 4th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2012, Kaohsiung, Taiwan, Province of China, 12/3/19. https://doi.org/10.1007/978-3-642-28490-8_50

Yasumura Y, Takahashi H, Uehara K. Potential topics discovery from topic frequency transition with semi-supervised learning. In Intelligent Information and Database Systems - 4th Asian Conference, ACIIDS 2012, Proceedings. PART 2 ed. 2012. p. 477-486. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2). doi: 10.1007/978-3-642-28490-8_50

Yasumura, Yoshiaki ; Takahashi, Hiroyoshi ; Uehara, Kuniaki. / Potential topics discovery from topic frequency transition with semi-supervised learning. Intelligent Information and Database Systems - 4th Asian Conference, ACIIDS 2012, Proceedings. PART 2. ed. 2012. pp. 477-486 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).

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Potential topics discovery from topic frequency transition with semi-supervised learning

Abstract

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Conference

Keywords

ASJC Scopus subject areas

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