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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SWIM, SC | 2020-08-21 14:00 |
Online | Online | Introduction to Business Engineering
-- Discussing Business Assessment -- Shoei Komatsu (APSOM)  SWIM2020-3 SC2020-9 |
Although the “DX promotion guidelines” include “analysis and evaluation of IT assets,” there is still no widely recogniz... [more] | SWIM2020-3 SC2020-9 pp.15-20 |
| CCS | 2017-06-30 11:15 |
Ibaraki | Ibaraki Univ. | Seasonality Analysis in J-REIT Market Mingxin Zhang (Ibaraki Univ.), Takashi Nakamura (Tokai Tokyo), Tomoya Suzuki (Ibaraki Univ.) CCS2017-6 |
Seasonality in financial markets such as "Sell in May" effect has been reported by many previous studies, but there are ... [more] | CCS2017-6 pp.23-28 |
| NLC, IPSJ-IFAT | 2017-02-10 09:25 |
Osaka | Extractive Summarization of Financial Statement Using Multi-Task Learning Masaru Isonuma, Toru Fujino, Jumpei Ukita, Haruka Murakami, Kimitaka Asatani, Junichiro Mori, Ichiro Sakata (UTokyo) NLC2016-47 |
In this paper, we proposed a methodology of summarizing financial statements which contributes to high quality investmen... [more] | NLC2016-47 pp.45-50 |
|
| DE | 2014-09-11 16:10 |
Tokyo | NII、12F Room1208, 1210 | Topic Extraction from the Financial and Economical Monthly Reports by using LDA
-- Japanese Economical Climate Analysis just after the East-Japan Great Earthquake -- Yuriko Yano, Risa Hayashi, Yukari Shirota (Gakushuin University), Takako Hashimoto (Chiba University of Commerce), Tamaki Sakura (JCER) DE2014-36 |
We conducted a topic extraction from the financial and economical monthly reports by Bank of Japan to analyze the time s... [more] | DE2014-36 pp.75-78 |
| DE | 2014-09-11 16:35 |
Tokyo | NII、12F Room1208, 1210 | Topic Extraction from the Financial and Economical Monthly Reports by using LDA
-- Japanese Economical Climate Analysis of the Second Abe Cabinet Period -- Asako Matsuda, Kazuma Okaishi, Yukari Shirota (Gakushuin University), Takako Hashimoto (Chiba Univ. of Commerce), Tamaki Sakura (JCER) DE2014-37 |
We conducted a topic extraction from the financial and economical monthly reports by Bank of Japan to analyze the time s... [more] | DE2014-37 pp.79-84 |
| SWIM | 2014-02-28 16:05 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | An Essay on Business Design
-- Assessment of Japanese Business Models -- Shoei Komatsu (APSOM) SWIM2013-22 |
For sustaining successively the firm in the country and furthermore competing with global rivalry it is needed different... [more] | SWIM2013-22 pp.31-36 |
| NLC | 2013-09-13 11:20 |
Tokyo | National Olympics Memorial Youth Center | Extraction of causal information from PDF files of the summary of financial statements of companies Hiroko Nishizawa, Hiroyuki Sakai (Seikei Univ.) NLC2013-27 |
In this paper, we propose a method for extracting causal information from PDF files of the summary of financial statemen... [more] | NLC2013-27 pp.67-72 |
| 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 |
| AI | 2011-05-26 13:00 |
Tokyo | Kwansei Gakuin Univ. Tokyo Marunouchi Campus | [Invited Talk]
Introduction to Financial Text Mining Kiyoshi Izumi (Univ. of Tokyo), Tohgoroh Matsui (Chubu Univ.) AI2011-4 |
Mood changes about economic conditions could be extracted from enormous textual information on the Web. Recently, some t... [more] | AI2011-4 pp.15-19 |
| AI, IPSJ-ICS, JSAI-KBS | 2009-03-03 11:25 |
Miyagi | Laforet Zao Resort & Spa | An Analysis of Market Financial Trends by a New Text Minining Method Kiyoshi Izumi (National Inst. of Adv Ind Scie and Tech.), Takashi Goto (MUFG), Tohgoroh Matsui (Tokyo Univ. of Scie.) |
In this study, we proposed a new text-mining methods for long-term market analysis. Using our method, we analysed monthl... [more] | AI2008-77 pp.75-80 |
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