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7th International Conference on Mobile Data Management (MDM'06)
Topic Detection from Blog Documents Using Users? Interests
Nara, Japan
May 10-May 12
ISBN: 0-7695-2526-1
ASCII Text
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Yuichiro Sekiguchi, Harumi Kawashima, Hidenori Okuda, Masahiro Oku, "Topic Detection from Blog Documents Using Users? Interests," Mobile Data Management, IEEE International Conference on, pp. 108, 7th International Conference on Mobile Data Management (MDM'06), 2006.
 
 
BibTex
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@article{ 10.1109/MDM.2006.153,
author = {Yuichiro Sekiguchi and Harumi Kawashima and Hidenori Okuda and Masahiro Oku},
title = {Topic Detection from Blog Documents Using Users? Interests},
journal ={Mobile Data Management, IEEE International Conference on},
volume = {0},
year = {2006},
issn = {1551-6245},
pages = {108},
doi = {http://doi.ieeecomputersociety.org/10.1109/MDM.2006.153},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Mobile Data Management, IEEE International Conference on
TI - Topic Detection from Blog Documents Using Users? Interests
SN - 1551-6245
SP
EP
A1 - Yuichiro Sekiguchi,
A1 - Harumi Kawashima,
A1 - Hidenori Okuda,
A1 - Masahiro Oku,
PY - 2006
KW - null
VL - 0
JA - Mobile Data Management, IEEE International Conference on
ER -
 
Yuichiro Sekiguchi, NTT Corporation, Japan
Harumi Kawashima, NTT Corporation, Japan
Hidenori Okuda, NTT Corporation, Japan
Masahiro Oku, NTT Corporation, Japan
In this paper, we describe a method to detect topic words from blog documents. We define "topic words" as words frequently used by people who share the same interests. In this method, each blogger?s interests are extracted from each blog site, and interest similarities between bloggers are calculated. Unusual words that are used by bloggers who have a high level of similarity are then extracted as topic words. We evaluated the precision of this method using blog documents, and the results show that the proposed method is superior (by 4.4 %) to the traditional TF-IDF method in terms of precision.
Citation:
Yuichiro Sekiguchi, Harumi Kawashima, Hidenori Okuda, Masahiro Oku, "Topic Detection from Blog Documents Using Users? Interests," mdm, pp.108, 7th International Conference on Mobile Data Management (MDM'06), 2006
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