Tatsuo Yamashita

According to our database, Tatsuo Yamashita authored at least 16 papers between 2000 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2021

Prediction of Nikkei VI increase for reducing investment risk using Yahoo! JAPAN stock BBS.

Kentaro Ueda, Kodai Sasaki, Hirohiko Suwa, Yuki Ogawa, Eiichi Umehara, Tatsuo Yamashita, Kota Tsubouchi, Keiichi Yasumoto

Proceedings of the WI-IAT '21: IEEE/WIC/ACM International Conference on Web Intelligence, Hybrid Event / Melbourne, VIC, Australia, December 14 - 17, 2021, 2021

2020

GINN: gradient interpretable neural networks for visualizing financial texts.

Tomoki Ito, Hiroki Sakaji, Kiyoshi Izumi, Kota Tsubouchi, Tatsuo Yamashita

Int. J. Data Sci. Anal., 2020

Contextual Sentiment Neural Network for Document Sentiment Analysis.

Tomoki Ito, Kota Tsubouchi, Hiroki Sakaji, Tatsuo Yamashita, Kiyoshi Izumi

Data Sci. Eng., 2020

SSNN: Sentiment Shift Neural Network.

Tomoki Ito, Kota Tsubouchi, Hiroki Sakaji, Tatsuo Yamashita, Kiyoshi Izumi

Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

Evaluation of VI Index Forecasting Model by Machine Learning for Yahoo! Stock BBS Using Volatility Trading Simulation.

Kodai Sasaki, Hirohiko Suwa, Yuki Ogawa, Eiichi Umehara, Tatsuo Yamashita, Kota Tsubouchi

Proceedings of the 53rd Hawaii International Conference on System Sciences, 2020

Word-Level Contextual Sentiment Analysis with Interpretability.

Tomoki Ito, Kota Tsubouchi, Hiroki Sakaji, Tatsuo Yamashita, Kiyoshi Izumi

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

CSNN: Contextual Sentiment Neural Network.

Tomoki Ito, Kota Tsubouchi, Hiroki Sakaji, Kiyoshi Izumi, Tatsuo Yamashita

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Word-level Sentiment Visualizer for Financial Documents.

Tomoki Ito, Kota Tsubouchi, Hiroki Sakaji, Tatsuo Yamashita, Kiyoshi Izumi

Proceedings of the IEEE Conference on Computational Intelligence for Financial Engineering & Economics, 2019

2018

Text-Visualizing Neural Network Model: Understanding Online Financial Textual Data.

Tomoki Ito, Hiroki Sakaji, Kota Tsubouchi, Kiyoshi Izumi, Tatsuo Yamashita

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Simulation of Volatility Trading using Nikkei Stock Index Option based on Stock Bulletin Board.

Kodai Sasaki, Yui Hirose, Eiichi Umehara, Hirohiko Suwa, Yuki Ogawa, Tatsuo Yamashita, Kota Tsubouchi

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

Development of sentiment indicators using both unlabeled and labeled posts.

Tomoki Ito, Hiroki Sakaji, Kiyoshi Izumi, Kota Tsubouchi, Tatsuo Yamashita

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Development of an Interpretable Neural Network Model for Creation of Polarity Concept Dictionaries.

Tomoki Ito, Hiroki Sakaji, Kiyoshi Izumi, Kota Tsubouchi, Tatsuo Yamashita

Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

Develop method to predict the increase in the Nikkei VI index.

Hirohiko Suwa, Yuki Ogawa, Eiichi Umehara, Kento Kakigi, Keiichi Yasumoto, Tatsuo Yamashita, Kota Tsubouchi

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016

Polarity propagation of financial terms for market trend analyses using news articles.

Tomoki Ito, Kiyoshi Izumi, Kota Tsubouchi, Tatsuo Yamashita

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2000

Using Machine Learning Methods to Improve Quality of Tagged Corpora and Learning Models.

Yuji Matsumoto, Tatsuo Yamashita

Proceedings of the Second International Conference on Language Resources and Evaluation, 2000

Language Independent Morphological Analysis.

Tatsuo Yamashita, Yuji Matsumoto

Proceedings of the 6th Applied Natural Language Processing Conference, 2000