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ORCIDTatsuo Yamashita
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2020 – today
- 2024
[j3]Kentaro Ueda
, Hirohiko Suwa, Masaki Yamada, Yuki Ogawa, Eiichi Umehara, Tatsuo Yamashita, Kota Tsubouchi, Keiichi Yasumoto:
SSCDV: Social media document embedding with sentiment and topics for financial market forecasting. Expert Syst. Appl. 245: 122988 (2024)- 2021
- [c14]Kentaro Ueda, Kodai Sasaki, Hirohiko Suwa, Yuki Ogawa, Eiichi Umehara, Tatsuo Yamashita, Kota Tsubouchi, Keiichi Yasumoto:
Prediction of Nikkei VI increase for reducing investment risk using Yahoo! JAPAN stock BBS. WI/IAT (Workshop/Special Session) 2021: 126-133 - 2020
- [j2]Tomoki Ito, Kota Tsubouchi, Hiroki Sakaji, Tatsuo Yamashita, Kiyoshi Izumi:
Contextual Sentiment Neural Network for Document Sentiment Analysis. Data Sci. Eng. 5(2): 180-192 (2020) - [j1]Tomoki Ito, Hiroki Sakaji, Kiyoshi Izumi, Kota Tsubouchi, Tatsuo Yamashita:
GINN: gradient interpretable neural networks for visualizing financial texts. Int. J. Data Sci. Anal. 9(4): 431-445 (2020) - [c13]Tomoki Ito, Kota Tsubouchi, Hiroki Sakaji, Tatsuo Yamashita, Kiyoshi Izumi:
Word-Level Contextual Sentiment Analysis with Interpretability. AAAI 2020: 4231-4238 - [c12]Kodai Sasaki, Hirohiko Suwa, Yuki Ogawa, Eiichi Umehara, Tatsuo Yamashita, Kota Tsubouchi:
Evaluation of VI Index Forecasting Model by Machine Learning for Yahoo! Stock BBS Using Volatility Trading Simulation. HICSS 2020: 1-9 - [c11]Tomoki Ito, Kota Tsubouchi, Hiroki Sakaji, Tatsuo Yamashita, Kiyoshi Izumi:
SSNN: Sentiment Shift Neural Network. SDM 2020: 262-270
2010 – 2019
- 2019
- [c10]Tomoki Ito, Kota Tsubouchi, Hiroki Sakaji, Tatsuo Yamashita, Kiyoshi Izumi:
Word-level Sentiment Visualizer for Financial Documents. CIFEr 2019: 1-7 - [c9]Tomoki Ito, Kota Tsubouchi, Hiroki Sakaji, Kiyoshi Izumi, Tatsuo Yamashita:
CSNN: Contextual Sentiment Neural Network. ICDM 2019: 1126-1131 - 2018
- [c8]Kodai Sasaki, Yui Hirose, Eiichi Umehara, Hirohiko Suwa, Yuki Ogawa, Tatsuo Yamashita, Kota Tsubouchi:
Simulation of Volatility Trading using Nikkei Stock Index Option based on Stock Bulletin Board. IEEE BigData 2018: 4367-4374 - [c7]Tomoki Ito, Hiroki Sakaji, Kota Tsubouchi, Kiyoshi Izumi, Tatsuo Yamashita:
Text-Visualizing Neural Network Model: Understanding Online Financial Textual Data. PAKDD (3) 2018: 247-259 - 2017
- [c6]Hirohiko Suwa, Yuki Ogawa, Eiichi Umehara, Kento Kakigi, Keiichi Yasumoto, Tatsuo Yamashita, Kota Tsubouchi:
Develop method to predict the increase in the Nikkei VI index. IEEE BigData 2017: 3133-3138 - [c5]Tomoki Ito, Hiroki Sakaji, Kiyoshi Izumi, Kota Tsubouchi, Tatsuo Yamashita:
Development of an Interpretable Neural Network Model for Creation of Polarity Concept Dictionaries. ICDM Workshops 2017: 1122-1131 - [c4]Tomoki Ito, Hiroki Sakaji, Kiyoshi Izumi, Kota Tsubouchi, Tatsuo Yamashita:
Development of sentiment indicators using both unlabeled and labeled posts. SSCI 2017: 1-8 - 2016
- [c3]Tomoki Ito, Kiyoshi Izumi, Kota Tsubouchi, Tatsuo Yamashita:
Polarity propagation of financial terms for market trend analyses using news articles. CEC 2016: 3477-3482
2000 – 2009
- 2000
- [c2]Tatsuo Yamashita, Yuji Matsumoto:
Language Independent Morphological Analysis. ANLP 2000: 232-238 - [c1]Yuji Matsumoto, Tatsuo Yamashita:
Using Machine Learning Methods to Improve Quality of Tagged Corpora and Learning Models. LREC 2000
Coauthor Index
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