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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 18 of 18  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
DE 2022-06-25
11:20
Tokyo Musashino University
(Primary: On-site, Secondary: Online)
Estimating tweet directivity using linguistic features
Hidenori Kiyomoto, Kongmeng Liew, Shuntaro Yada, Shoko Wakamiya, Eiji Aramaki (NAIST) DE2022-4
With the Covid-19 pandemic, governments and local authorities are often required to provide accurate and prompt informat... [more] DE2022-4
pp.19-24
MI 2020-01-29
10:15
Okinawa OKINAWAKEN SEINENKAIKAN Analysis of disease classification and musculoskeletal anatomy using medical images and radiology reports in a large-scale medical image database
Shuhei Honda, Yoshito Otake (NAIST), Masaki Takao (Osaka Univ.), Eiji Aramaki, Shuntaro Yada, Yuta Hiasa (NAIST), Kento Aida, Shinichi Sato (NII), Akihiro Nishie (Kyushu Univ.), Nobuhiko Sugano (Osaka Univ.), Yoshinobu Sato (NAIST) MI2019-69
Recently, the environment for the analysis of large databases, such as the large-scale medical image database, have been... [more] MI2019-69
pp.19-22
DE, IPSJ-DBS, IPSJ-IFAT 2019-09-10
13:00
Tokyo Kogakuin University Generating Manzai-Scenario Using Multiple News Articles.
Kazuki Haraguchi (Konan Univ.), Shingo Otsuka (KAIT), Eiji Aramaki, Shoko Wakamiya (NAIST), Akiyo Nadamoto (Konan Univ.) DE2019-19
(To be available after the conference date) [more] DE2019-19
pp.23-28
DE, IPSJ-DBS, IPSJ-IFAT 2019-09-10
13:25
Tokyo Kogakuin University An Experiment of Laughter for Cancer Patients using Manzai Robots.
Kazuki Yane, Kazuki Haraguchi (Konan Univ.), Akira Sato (OICI), Eiji Aramaki (NAIST), Isao Miyashiro (OICI), Akiyo Nadamoto (Konan Univ.) DE2019-20
(To be available after the conference date) [more] DE2019-20
pp.29-34
LOIS 2018-03-01
14:50
Okinawa Naha-City IT Souzoukan(Okinawa) What kind of phrase is used for pointing out rumors? -- Analysis of rumor-correction phrases on Twitter --
Mai Miyabe (Tokyo Univ. of Science, Suwa), Eiji Aramaki (NAIST) LOIS2017-79
 [more] LOIS2017-79
pp.49-54
IBISML 2017-11-09
13:00
Tokyo Univ. of Tokyo Clinical Decision Support System based on Co-occurrence Analysis of Disease Names -- Utilization of Clinical Big Text Data by Artificial Intelligence --
Ken Yano, Eiji Aramaki (NAIST) IBISML2017-56
Medical information such as case reports describe the systematic documentation of a patient's medical history and care a... [more] IBISML2017-56
pp.161-168
LOIS 2017-03-03
10:20
Okinawa N.Ohama Memorial Hall Development of a Facilitation System of Verification Behavior of Information Reliability for Prevention of Spreading of False Rumors
Daisuke Kakimoto (Wakayama Univ.), Eiji Aramaki (NAIST), Mai Miyabe (Wakayama Univ.) LOIS2016-87
As the widespread of microblogs (SNSs), we are now capable of obtaining and conveying various information. Microblogs ca... [more] LOIS2016-87
pp.141-146
LOIS 2017-03-03
16:40
Okinawa N.Ohama Memorial Hall Availability of Classifier of Information for "Palatability" in Microblogs
Maki Morita (Wakayama Univ.), Eiji Aramaki (NAIST), Akiyo Nadamoto (Konan Univ.), Mai Miyabe (Wakayama Univ.) LOIS2016-103
The restaurant information searches on Internet are widely available now, but such searches have problems of providing u... [more] LOIS2016-103
pp.229-234
NLC, TL 2016-06-05
10:20
Hokkaido Otaru University of Commerce A Comparative Analysis of Sizzle words for Automatic Extraction of "Palatability"
Maki Morita (Wakayama Univ.), Eiji Aramaki (NAIST), Akiyo Nadamoto (Konan Univ.), Mai Miyabe (Wakayama Univ.) TL2016-11 NLC2016-11
Nowadays, the restaurant search services on the Internet become popular, people use them when they search the new restau... [more] TL2016-11 NLC2016-11
pp.53-58
LOIS 2016-03-03
14:20
Okinawa Central Community Center, Miyakojima-City Automatic Extraction of Information for "Palatability" in Microblogs: A Proposal of A Restaurant Retrieval System based on Personal Preferences and Real-time Data
Maki Morita (Wakayama Univ.), Eiji Aramaki (NAIST), Akiyo Nadamoto (Konan Univ.), Mai Miyabe (Wakayama Univ.) LOIS2015-74
The restaurant information searches on Internet are widely available now, but such searches have problems of providing u... [more] LOIS2015-74
pp.63-68
LOIS 2016-03-04
10:20
Okinawa Central Community Center, Miyakojima-City A Review on Methods for Providing Awareness of the Reliability of Information for Preventing Groundless Rumors
Daisuke Kakimoto (Wakayama Univ.), Eiji Aramaki (NAIST), Mai Miyabe (Wakayama Univ.) LOIS2015-84
As the widespread of microblogs (SNSs), we are now capable of obtaining and conveying various information. Microblogs ca... [more] LOIS2015-84
pp.121-126
DE 2015-09-24
15:40
Kanagawa   Food Similarty Search based on Sizzle Words and the Season
Daisuke Kato (Konan Univ.), Mai Miyabe (Wakayama Univ.), Eiji Aramaki (NAIST), Akiyo Nadamoto (Konan Univ.) DE2015-20
(To be available after the conference date) [more] DE2015-20
pp.1-6
NLC, IPSJ-NL, SP, IPSJ-SLP, JSAI-SLUD
(Joint) [detail]
2014-12-17
17:25
Kanagawa Tokyo Institute of Technology (Suzukakedai Campus) Detecting Novel Allergy Risks by Using Crowdsourcing -- the semi-automatic research from hypothesis making to experimentation --
Eiji Aramaki, Shuko Shikata (Kyoto University), Eriko Watabe (IRALT), Mai Miyabe, Yasuyuki Usuda (Kyoto University), Satsuki Ayaya, Shinichiro Kumagaya (Univ. of Tokyo) NLC2014-43
(Advance abstract in Japanese is available) [more] NLC2014-43
pp.133-138
DE 2014-09-10
14:15
Tokyo NII、12F Room1208, 1210 A Comparison of Sizzle Word Between Twitter, Web, and Recipe site.
Daisuke Kato (Konan Univ.), Mai Miyabe, Eiji Aramaki (Kyoto Univ.), Akiyo Nadamoto (Konan Univ.) DE2014-26
(To be available after the conference date) [more] DE2014-26
pp.19-24
NLC 2013-12-04
15:10
Tokyo Gree Inc. [Invited Talk] 100-nin Map: Kyoto Map made by 100 people
Eiji Aramaki (Kyoto Univ./JST), Yusuke Kita, Tetsuaki Nakamura, Kei Kubo, Yumiko Shimamoto, Yasuyuki Usuda, Mai Miyabe (Kyoto Univ.) NLC2013-37
 [more] NLC2013-37
pp.23-24
NLC 2012-12-19
15:55
Tokyo Ookayama Campasu, Tokyo Institute of Technology Extracting location specific expressions from social media texts
Hironori Kato, Eiji Aramaki, Mai Miyabe, Minoru Yoshida, Issei Sato, Hiroshi Nakagawa (Tokyo Univ.) NLC2012-38
Recently, social media has attracted attention in many elds, computer science, social science, market-
ing and so on. ... [more]
NLC2012-38
pp.29-34
DE 2011-12-16
17:15
Kyoto Kyoto Sangyo University Analysis of Diffusion of Rumor and CorrectionTweets on the Twitter during Disasters and Normal Situation
Ayana Umejima (Konan Univ.), Mai Miyabe, Eiji Aramaki (The Univ. of Tokyo), Akiyo Nadamoto (Konan Univ.) DE2011-50
The rapid progress of the micro blog such as Facebook and Twitter, user can communicate with each other easily in real t... [more] DE2011-50
pp.59-64
DE 2007-07-03
10:45
Miyagi Akiu hot springs (Sendai) Extracting for Content Hole of the Community Type Content
Akiyo Nadamoto (NICT), Takeshi Abekawa, Eiji Aramaki (Univ. of Tokyo), Yohei Murakami (NICT) DE2007-66
The community type content such as SNS and Blog are representative technique of Web2.0. Sometimes users who use the comm... [more] DE2007-66
pp.265-270
 Results 1 - 18 of 18  /   
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