Paper Abstract and Keywords |
Presentation |
2016-02-22 14:45
A Note on Hierarchical Topic Detection from Heterogeneous Social Media Contents Daichi Takehara, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In this paper, we present a method of hierarchical topic detection from heterogeneous social media contents.
Our method firstly extracts latent features for comparing heterogeneous social media contents based on canonical correlation analysis.
Moreover, we construct a heterogeneous graph that has multiple types of nodes (i.e., heterogeneous social media contents), and hierarchically detect sets of contents with similar topics by analyzing community structure in the constructed heterogeneous graph.
As a result, hierarchical structure of the detected sets of contents is revealed.
Therefore, based on the revealed hierarchical structure, users can easily grasp overview of huge amount of heterogeneous social media contents and efficiently find the desired contents from them.
Experimental results on the real-world dataset that are collected from YouTube and Wikipedia show the effectiveness of our method. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Social media / Hierarchical topic detection / Canonical correlation analysis / Graph Structure Analysis / YouTube video / Wikipedia article / / |
Reference Info. |
ITE Tech. Rep., vol. 40, no. 6, ME2016-54, pp. 193-196, Feb. 2016. |
Paper # |
ME2016-54 |
Date of Issue |
2016-02-15 (MMS, CE, HI, ME, AIT) |
ISSN |
Print edition: ISSN 1342-6893 Online edition: ISSN 2424-1970 |
Download PDF |
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Conference Information |
Committee |
HI IEICE-IE AIT IEICE-ITS ME MMS CE |
Conference Date |
2016-02-22 - 2016-02-23 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Hokudai |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
image processing etc |
Paper Information |
Registration To |
ME |
Conference Code |
2016-02-HI-IE-AIT-ITS-ME-MMS-CE |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
A Note on Hierarchical Topic Detection from Heterogeneous Social Media Contents |
Sub Title (in English) |
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Keyword(1) |
Social media |
Keyword(2) |
Hierarchical topic detection |
Keyword(3) |
Canonical correlation analysis |
Keyword(4) |
Graph Structure Analysis |
Keyword(5) |
YouTube video |
Keyword(6) |
Wikipedia article |
Keyword(7) |
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Keyword(8) |
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1st Author's Name |
Daichi Takehara |
1st Author's Affiliation |
Hokkaido University (Hokkaido Univ.) |
2nd Author's Name |
Ryosuke Harakawa |
2nd Author's Affiliation |
Hokkaido University (Hokkaido Univ.) |
3rd Author's Name |
Takahiro Ogawa |
3rd Author's Affiliation |
Hokkaido University (Hokkaido Univ.) |
4th Author's Name |
Miki Haseyama |
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Hokkaido University (Hokkaido Univ.) |
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Speaker |
Author-1 |
Date Time |
2016-02-22 14:45:00 |
Presentation Time |
15 minutes |
Registration for |
ME |
Paper # |
MMS2016-21, CE2016-21, HI2016-21, ME2016-54, AIT2016-21 |
Volume (vol) |
vol.40 |
Number (no) |
no.6 |
Page |
pp.193-196 |
#Pages |
4 |
Date of Issue |
2016-02-15 (MMS, CE, HI, ME, AIT) |