Meet the editor

Dr. Kazuyuki Matsumoto received a Ph.D. in 2008 from the Faculty of Engineering, Tokushima University, Japan, where he is currently an associate professor. His research interests include affective computing, artificial intelligence, Kansei robotics, and natural language processing. He is a member of the Association for the Advancement of Affective Computing (AAAC), Association for Natural Language Processing (ANLP), Institute of

Electrical Engineers of Japan (IEEJ), Japan Society of Kansei Engineering (JSKE), Japanese Society for Artificial Intelligence (JSAI), Institute of Electronics, Information and Communication Engineers (IEICE), Human Interface Society (HIS), and Information Processing Society of Japan (IPSJ).

Contents

**Section 1**

**Section 2**

of Association *by Seiji Tsuchiya*

**Section 3**

*by Kazuyuki Matsumoto*

and Effectiveness

Mining Numbers in Text: A Survey *by Minoru Yoshida and Kenji Kita*

**Preface XI**

Text Mining Methods and Personalized Web Services **1**

**Chapter 1 3**

**Chapter 2 17**

Artificial Intelligence and Affective Computing **33**

**Chapter 3 35**

**Chapter 4 45**

Dialogue System for Nursing Robot **67**

**Chapter 5 69**

**Chapter 6 87**

Towards a Personalized Web Services Composition Approach

Humanistic Next-Generation Artificial Intelligence Capable

Utterance Emotion Estimation by Using Feature of Syntactic Pattern

Issues in the Development of Conversation Dialog for Humanoid

*by Tetsuya Tanioka, Feni Betriana, Ryuichi Tanioka, Yuki Oobayashi, Kazuyuki Matsumoto, Yoshihiro Kai, Misao Miyagawa and Rozzano Locsin*

Robot Therapy Program for Patients with Dementia: Its Framework

*by Kyoko Osaka, Ryuichi Tanioka, Feni Betriana, Tetsuya Tanioka,* 

Nursing Partner Robots in Long-Term Care

*Yoshihiro Kai and Rozzano C. Locsin*

*by Sarra Abidi, Fathia Bettaher and Myriam Fakhri*

## Contents



Preface

This book is a collection of chapters describing research examples and empirical studies on recent intelligent information processing systems and their applications, especially nursing robots, which will become increasingly important in the future. It can be said that the intelligent information processing systems envisioned in artificial intelligence (AI) research aim to "process things more intelligently, smartly, and humanely," a step forward from the information processing systems'goal of "processing things quickly and reliably." In addition, "human-like" processing also means making the mistakes humans tend to make, so there is room for debate about how human-like it should be. Knowledge information processing, especially information retrieval, personalization in the recommendation, intelligent dialogue processing, emotional information processing, and so on, are topics that many researchers have been working on using various approaches. These have influenced the recent rapid development of AI technology. One urgent task is to combine these mature information processing technologies and realize interactive nursing care robots to solve the shortage of caregivers caused by the declining birthrate and aging

The first section contains two chapters on numerical mining techniques and

Chapter 2 describes a research case study of a web service system that makes personal adaptations according to user interactions. To obtain the necessary information on the Web, the user's own characteristics must be fully considered. In this context, a service composition approach that enables dynamic service composition aimed at satisfying user needs based on ontology and user profile information, and a personalization approach that enables service reuse based on user context, are

The second section contains two chapters on techniques essential to developing AI, such as associative techniques, common sense judgment, and emotional

Chapter 3 describes the usefulness of associative knowledge techniques, which will

Chapter 4 presents experiments with real data on a method that integrates machine learning using corpus-based examples and syntactic knowledge using deep learning

Chapter 1 is a survey of recent mining literature on how to handle numerical information in text mining techniques. Although many methods have been proposed for retrieving textual information, retrieval based on numerical values that consider units, scales, and so on, has not been conducted in conventional text mining research for language. While it is necessary to organize and store numerical values in a database, tabular data on the Web are not always described in a uniform format,

population, which has become a social problem.

personalization in information processing systems.

and it is necessary to combine text mining techniques.

be important in realizing the next generation of AI.

proposed.

information processing.

**XII**

*by Yuko Yasuhara*
