Mitsuru Ishizuka
Biographic Data
| ID | 1924912 |
|---|---|
| NAME | Mitsuru Ishizuka |
| GIVEN NAMES | Mitsuru |
| FAMILY NAME | Ishizuka |
| SIGNATURE | ISHIZUKA M |
| AFFILIATIONS | The University of Tokyo |
| ORCID | 0000-0003-3241-1480 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 2 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2009 |
| LATEST PUBLICATION YEAR | 2015 |
| H-INDEX | 1 |
Virtual interface agents that adapt to user emotion and interest
Mining dynamic social networks from public news articles for company value prediction
Dynamic networks are studied by sociologists to understand network evolution, belief formation, friendship formation, etc. Companies make and receive different impacts from other companies in different periods. If one can understand what types of network changes affect a company’s value, then one would be able to predict the future value of the company, grasp industry innovations, and make business more successful. However, it is often difficult …
Spoken Language Processing
We introduce a novel approach for automatically generating a virtual instructor from textual input only. Our fully implemented system first analyzes the rhetorical structure of the input text and then creates various questionanswer pairs using patterns. These patterns have been derived from correlations found between rhetorical structure of monologue texts and question-answer pairs in the corresponding dialogues. A selection of the candidate pair…
Mining dynamic social networks from public news articles for company value prediction
Dynamic networks are studied by sociologists to understand network evolution, belief formation, friendship formation, etc. Companies make and receive different impacts from other companies in different periods. If one can understand what types of network changes affect a company’s value, then one would be able to predict the future value of the company, grasp industry innovations, and make business more successful. However, it is often difficult …
Spoken Language Processing
We introduce a novel approach for automatically generating a virtual instructor from textual input only. Our fully implemented system first analyzes the rhetorical structure of the input text and then creates various questionanswer pairs using patterns. These patterns have been derived from correlations found between rhetorical structure of monologue texts and question-answer pairs in the corresponding dialogues. A selection of the candidate pair…
Mining dynamic social networks from public news articles for company value prediction
Dynamic networks are studied by sociologists to understand network evolution, belief formation, friendship formation, etc. Companies make and receive different impacts from other companies in different periods. If one can understand what types of network changes affect a company’s value, then one would be able to predict the future value of the company, grasp industry innovations, and make business more successful. However, it is often difficult …
Virtual interface agents that adapt to user emotion and interest
Computer Science (3 works) · Psychology (2 works) · Automatic speech recognition (1 works) · Business (1 works) · Communication (1 works) · Complex Network Analysis Techniques (1 works) · Complex Systems and Time Series Analysis (1 works) · Computational linguistics (1 works) · Data science (1 works) · Digital Marketing and Social Media (1 works)