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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 41 - 60 of 80 [Previous]  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
NLC 2013-12-04
13:55
Tokyo Gree Inc. Exploratory Search Experiment using TETDM (Total Environment for Text Data Mining)
Hidekazu Tokunaga (Kagawa nct) NLC2013-35
Exploratory Search which attracts attention now has the following features. The search person does not have a clear sear... [more] NLC2013-35
pp.13-16
NLC 2013-09-12
10:05
Tokyo National Olympics Memorial Youth Center Creation of Teaching Materials for Japanese Academic Writing , Using Frequency Information Retreived from the BCCWJ Corpora Data
Kazunari Hori, Akihiro Sakajiri (Osaka Univ.), Dai Ishijima (TRI Osaka) NLC2013-14
This paper reports how we mined the word frequency information from Balanced Corpus of Contemporary Written Japanese (BC... [more] NLC2013-14
pp.1-6
NLC 2013-09-12
14:10
Tokyo National Olympics Memorial Youth Center An approach for extracting concerned area of Twitter users by category information in Wikipedia
Yinjun Hu, Yasuo Tanida (Synergy Marketing) NLC2013-17
Recently, Twitter becomes widely spread and owns a large number of users what attracts much attention for text mining re... [more] NLC2013-17
pp.17-21
NLC 2013-09-13
09:25
Tokyo National Olympics Memorial Youth Center An Investigation of the Usage of Facemarks in Each Time Slot using Text Mining
Chika Onishi, Noriyuki Okumura (Kagawa National College of Tech.) NLC2013-23
In recent years, many people use facemarks when they use e-mail, a chat, SNS, etc as a means to communicate emotions . S... [more] NLC2013-23
pp.43-49
NLC 2013-09-13
10:55
Tokyo National Olympics Memorial Youth Center Extraction of important articles that influence the stock price of companies from financial articles
Masaru Nakayama, Hiroyuki Sakai (Seikei Univ.) NLC2013-26
Currently, the number of private investors is increasing. However, all private investors don’t have the knowledge on inv... [more] NLC2013-26
pp.61-66
LOIS 2013-03-07
16:40
Okinawa   What Does the Chirping Tell Us? Summarizing People's Opinion on Ongoing Events Using Tweets
Khan Muhammad Asif Hossain, Guangwen Liu, Masayuki Iwai, Kaoru Sezaki (Univ. of Tokyo) LOIS2012-87
The growth and increasing spatial resolution of Twitter has made it a promising network for assessing people’s opinion r... [more] LOIS2012-87
pp.107-112
AI 2013-02-18
14:10
Osaka   Effects on Task Accuracy by Entertainment for Evaluating Multilingual Parallel-texts
Shou Karino, Taku Fukushima, Takashi Yoshino (Wakayama Univ.) AI2012-32
We have supported people who join a parallel-text sharing community to motivate example-sentences evaluators.
Hence, we... [more]
AI2012-32
pp.63-68
TL 2012-12-08
10:55
Tokyo WASEDA University Attempt to Provide Educational Support for Japanese Academic Writing, Using Frequency Information Retrieved from the BCCWJ Core Corpora Data
Kazunari Hori, Akihiro Sakajiri (Osaka Univ.) TL2012-38
This paper reports how we mined the word frequency information from Balanced Corpus of Contemporary Written Japanese (BC... [more] TL2012-38
pp.23-27
IN, MoNA
(Joint)
2012-11-21
15:45
Fukuoka Fukuoka Institute of Technology Web Browsing Display Control by Text Mining
Toshitaka Maki, Toshihiko Wakahara (FIT) MoMuC2012-33
In recent years,the growthpenetration of mobile devices such as smartphones and tablet devices is remarkable.There has b... [more] MoMuC2012-33
pp.7-11
NLC 2012-08-30
15:00
Kanagawa Fuji Xerox [Keynote Address] Potential of Text Mining -- its value and research opportunity --
Tetsuya Nasukawa (IBM Japan) NLC2012-13
As the accessible textual data is rapidly growing such as in the social media, importance of text mining is increasing. ... [more] NLC2012-13
pp.19-24
NS, IN
(Joint)
2012-03-08
11:00
Miyazaki Miyazaki Seagia In-Network Ad-Targeting Through WiFi AP Virtualization
Yuji Nishida, Akihiro Nakao (Tokyo Univ.) NS2011-191
Traditionally, Ad-Targeting on the Internet is limited to data-mining (1) for only web content, (2) for specific search ... [more] NS2011-191
pp.69-74
NS, IN
(Joint)
2012-03-09
15:40
Miyazaki Miyazaki Seagia Text Data Mining with Network Analysis of News about Foot-and-Mouth Disease Panic
Muneo Kushima (Sadowara H.S), Kenji Araki, Muneou Suzuki (Uni. of Miyazaki) NS2011-275
To analyze quantitatively information about the Foot-and-Mouth Disease panic linked problems in newspaper, we apply text... [more] NS2011-275
pp.547-551
TL 2011-08-05
13:30
Hiroshima Hiroshima Univ. Text data mining of News about aftosa Panic
Muneo Kushima, Noah Morris (Sadowara HS), Kenji Araki, Muneou Suzuki (Uni. of Miyazaki) TL2011-9
In the present study, articles relating to the aftosa panic were chosen among four newspapers printed within Japan. Spe... [more] TL2011-9
pp.7-12
ET 2011-07-16
15:05
Hokkaido   Programming course design with learner genuine behavior data
Dinh Thi Dong Phuong, Fumiko Harada, Hiromitsu Shimakawa (Ritsumeikan Univ.) ET2011-32
Programming educators have not focused on examining learner abilities, characteristics, interests and attitudes to progr... [more] ET2011-32
pp.47-52
NLC 2011-07-07
14:35
Tokyo IBM Japan, Ltd. Total Environment for Text Data Mining -- TETDM project --
Wataru Sunayama (Hiroshima City Univ.), Yasufumi Takama (Tokyo Metropolitan Univ.), Danushka Bollegala, Yoko Nishihara (The univ. of Tokyo), Hidekazu Tokunaga (Kagawa Nat Coll. of Tech.), Muneo Kushima (Univ. of Miyazaki Hospital), Mitsunori Matsushita (Kansai Univ.) NLC2011-4
In TETDM project, we develop and distribute an integrated environment to flexibly combine multiple text mining technique... [more] NLC2011-4
pp.15-20
NLC 2011-07-07
15:00
Tokyo IBM Japan, Ltd. Visualization method for text classification to assist interpretation of the results
Osamu Segawa (CEPCO), Kazuhiko Murakami, Masaki Mizuno, Munehiro Furusato (Chuden CTI) NLC2011-5
We have developed a visualization technique for text classification and clustering. First, in this paper, we propose a v... [more] NLC2011-5
pp.21-24
NLC 2011-07-07
16:55
Tokyo IBM Japan, Ltd. A Trial on "Social Profile" Analysis and Classification -- As an Elementary Technology for Understanding Information Behavior of Soclai Media Users --
Yoshikatsu Haruki (Ferris Univ.), Yayoi Tanaka (Kanagawa Univ.), Taisuke Kamiyama (Seijo Univ.) NLC2011-9
In the present study, it reports on the finding that analyzes, and classifies a social profile as the basic data to catc... [more] NLC2011-9
pp.43-48
NLC 2011-07-08
10:05
Tokyo IBM Japan, Ltd. Text mining method using knowledge sharing database -- toward a planning of MOT strategy --
Masaaki Yamamoto, Fumio Komoda (Saitama Univ.) NLC2011-11
Due to globalization, equivocal knowledge including customer needs/various economic affairs in addition to R&D activitie... [more] NLC2011-11
pp.55-60
NLC 2011-07-08
16:25
Tokyo IBM Japan, Ltd. Finacial Market Forecats by Text Mining of Economic Reports
Kiyoshi Izumi (Univ. of Tokyo), Takashi Goto (The Bank of Tokyo-Mitsubishi UFJ, Ltd.), Tohgoroh Matsui (Chubu Uni.) NLC2011-20
In this study, we proposed a new text-mining methods for long-term market analysis using market reports published by fin... [more] NLC2011-20
pp.107-111
PRMU, DE 2011-06-06
15:40
Kanagawa   Classification of users' attitudes toward rumors on microblogs
Tomohide Fujikawa, Nobuhiro Kaji, Naoki Yoshinaga, Masaru Kitsuregawa (UT) DE2011-10 PRMU2011-41
In these days, information spread on microblogs (e.g., Twitter) includes tons of (false) rumors. This motivates us to qu... [more] DE2011-10 PRMU2011-41
pp.55-60
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