Polarity propagation of financial terms for market trend analyses using news articles. - Tomoki Ito; Kiyoshi Izumi; Kota Tsubouchi; Tatsuo Yamashita (CEC, 2016)

Development of an Interpretable Neural Network Model for Creation of Polarity Concept Dictionaries. - Tomoki Ito; Hiroki Sakaji; Kiyoshi Izumi; Kota Tsubouchi; Tatsuo Yamashita (ICDM Workshops, 2017)

Development of sentiment indicators using both unlabeled and labeled posts. - Tomoki Ito; Hiroki Sakaji; Kiyoshi Izumi; Kota Tsubouchi; Tatsuo Yamashita (SSCI, 2017)

Transaction Offloading for Access Management to Live Data of IoT in Information-Centric Network. - Tomoki Ito; Hirofumi Noguchi; Yoji Yamato; Tutomu Murase (GCCE, 2018)

Text-Visualizing Neural Network Model: Understanding Online Financial Textual Data. - Tomoki Ito; Hiroki Sakaji; Kota Tsubouchi; Kiyoshi Izumi; Tatsuo Yamashita (PAKDD (3), 2018)

Network Architecture with Categorizing Metadata by Locality and Lifetime for IoT Database Management. - Tomoki Ito; Misao Kataoka; Hirofumi Noguchi; Yoji Yamato; Tutomu Murase (WPMC, 2018)

Word-level Sentiment Visualizer for Financial Documents. - Tomoki Ito; Kota Tsubouchi; Hiroki Sakaji; Tatsuo Yamashita; Kiyoshi Izumi (CIFEr, 2019)

CSNN: Contextual Sentiment Neural Network. - Tomoki Ito; Kota Tsubouchi; Hiroki Sakaji; Kiyoshi Izumi; Tatsuo Yamashita (ICDM, 2019)

Segment Information Extraction from Financial Annual Reports Using Neural Network. - Tomoki Ito; Hiroki Sakaji; Kiyoshi Izumi (JSAI, 2019)

Evaluation of a Realistic Example of Information-Centric Network Metadata Management. - Tomoki Ito; Hirofumi Noguchi; Misao Kataoka; Takuma Isoda; Yoji Yamato; Tutomu Murase (UEMCON, 2019)

Deep Recurrent Factor Model: Interpretable Non-Linear and Time-Varying Multi-Factor Model. - Kei Nakagawa; Tomoki Ito; Masaya Abe; Kiyoshi Izumi (CoRR, 2019)

Word-Level Contextual Sentiment Analysis with Interpretability. - Tomoki Ito; Kota Tsubouchi; Hiroki Sakaji; Tatsuo Yamashita; Kiyoshi Izumi (AAAI, 2020)

Machine Learning based Video Hosting Site Identification Method for MVNO Networks. - Anan Sawabe; Tomoki Ito; Takanori Iwai (CCNC, 2020)

Virtualization in Distributed Hot and Cold Storage for IoT Data Retrieval without Caching. - Tomoki Ito; Hirofumi Noguchi; Misao Kataoka; Takuma Isoda; Tutomu Murase (ICIoT, 2020)

SSNN: Sentiment Shift Neural Network. - Tomoki Ito; Kota Tsubouchi; Hiroki Sakaji; Tatsuo Yamashita; Kiyoshi Izumi (SDM, 2020)

Contextual Sentiment Neural Network for Document Sentiment Analysis. - Tomoki Ito; Kota Tsubouchi; Hiroki Sakaji; Tatsuo Yamashita; Kiyoshi Izumi (Data Sci. Eng., 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)

Analysis of Important Phrases in Bidding Documents Using Table Encoder Joint Extraction. - Tomoki Ito; Shun Nakagawa (CIFEr, 2024)

Tender Document Analyzer with the Combination of Supervised Learning and LLM-based Improver. - Tomoki Ito; Shun Nakagawa (WWW (Companion Volume), 2024)