Presentation 2011-01-25
Early Topic Detection from Topic Frequency Transition with Semi-supervised Learning(Knowledge-Based Software Engineering)
Hiroyoshi TAKAHASHI, Yoshiaki YASUMURA, Kuniaki UEHARA,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) This report presents a method for early potential topic detection from blog articles. Potential topic is defined as a phrase which 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, labeling 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. The experimental results with real data show the effectiveness of the proposed method.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) semi-supervised learning / burst detection / blog / early-detection / focused topic
Paper # KBSE2010-40
Date of Issue

Conference Information
Committee KBSE
Conference Date 2011/1/17(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

Paper Information
Registration To Knowledge-Based Software Engineering (KBSE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Early Topic Detection from Topic Frequency Transition with Semi-supervised Learning(Knowledge-Based Software Engineering)
Sub Title (in English)
Keyword(1) semi-supervised learning
Keyword(2) burst detection
Keyword(3) blog
Keyword(4) early-detection
Keyword(5) focused topic
1st Author's Name Hiroyoshi TAKAHASHI
1st Author's Affiliation Graduate School of System informatics, Kobe University()
2nd Author's Name Yoshiaki YASUMURA
2nd Author's Affiliation College of Engineering, Shibaura Institute of Technology
3rd Author's Name Kuniaki UEHARA
3rd Author's Affiliation Graduate School of System informatics, Kobe University
Date 2011-01-25
Paper # KBSE2010-40
Volume (vol) vol.110
Number (no) 386
Page pp.pp.-
#Pages 6
Date of Issue