Event mining from the blogosphere using topic words

Yoshihiko Suhara; Hiroyuki Toda; Akito Sakurai

Event mining from the blogosphere using topic words

Yoshihiko Suhara, Hiroyuki Toda, Akito Sakurai

Department of Industrial and Systems Engineering

Research output: Contribution to conference › Paper › peer-review

7 Citations (Scopus)

Abstract

In this paper, we propose a method of extracting "action relations" between related topic words from Japanese weblogs (blogs). An action relation is a tuple of agent, target and predicate. Our method obtains blog articles that contain two keywords by AND search and outputs action relations constructed from the predicate and the two keywords with case particles that follow. However, since words are often omitted after they appear once, sentences with both of the keywords are scarce. Our method overcomes this problem by combining sentences that contain the common predicate and locate nearby.

Original language	English
Publication status	Published - 2007 Dec 1
Event	2007 International Conference on Weblogs and Social Media, ICWSM 2007 - Boulder, CO, United States Duration: 2007 Mar 26 → 2007 Mar 28

Other

Other	2007 International Conference on Weblogs and Social Media, ICWSM 2007
Country/Territory	United States
City	Boulder, CO
Period	07/3/26 → 07/3/28

Keywords

Information extraction
Relation extraction
Web mining

ASJC Scopus subject areas

Computer Networks and Communications

Cite this

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title = "Event mining from the blogosphere using topic words",

abstract = "In this paper, we propose a method of extracting {"}action relations{"} between related topic words from Japanese weblogs (blogs). An action relation is a tuple of agent, target and predicate. Our method obtains blog articles that contain two keywords by AND search and outputs action relations constructed from the predicate and the two keywords with case particles that follow. However, since words are often omitted after they appear once, sentences with both of the keywords are scarce. Our method overcomes this problem by combining sentences that contain the common predicate and locate nearby.",

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author = "Yoshihiko Suhara and Hiroyuki Toda and Akito Sakurai",

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note = "2007 International Conference on Weblogs and Social Media, ICWSM 2007 ; Conference date: 26-03-2007 Through 28-03-2007",

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TY - CONF

T1 - Event mining from the blogosphere using topic words

AU - Suhara, Yoshihiko

AU - Toda, Hiroyuki

AU - Sakurai, Akito

PY - 2007/12/1

Y1 - 2007/12/1

N2 - In this paper, we propose a method of extracting "action relations" between related topic words from Japanese weblogs (blogs). An action relation is a tuple of agent, target and predicate. Our method obtains blog articles that contain two keywords by AND search and outputs action relations constructed from the predicate and the two keywords with case particles that follow. However, since words are often omitted after they appear once, sentences with both of the keywords are scarce. Our method overcomes this problem by combining sentences that contain the common predicate and locate nearby.

AB - In this paper, we propose a method of extracting "action relations" between related topic words from Japanese weblogs (blogs). An action relation is a tuple of agent, target and predicate. Our method obtains blog articles that contain two keywords by AND search and outputs action relations constructed from the predicate and the two keywords with case particles that follow. However, since words are often omitted after they appear once, sentences with both of the keywords are scarce. Our method overcomes this problem by combining sentences that contain the common predicate and locate nearby.

KW - Information extraction

KW - Relation extraction

KW - Web mining

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UR - http://www.scopus.com/inward/citedby.url?scp=84893413787&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:84893413787

T2 - 2007 International Conference on Weblogs and Social Media, ICWSM 2007

Y2 - 26 March 2007 through 28 March 2007

ER -

Event mining from the blogosphere using topic words

Abstract

Other

Keywords

ASJC Scopus subject areas

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