Statistical analysis of a Japanese emotion corpus for natural language processing

Authors:
Junko Minato;David B. Bracewell;Fuji Ren;Shingo Kuroiwa
Affiliations:
Department of Information Science and Intelligent Systems, Faculty of Engineering, The University of Tokushima, Tokushima-shi, Japan;Department of Information Science and Intelligent Systems, Faculty of Engineering, The University of Tokushima, Tokushima-shi, Japan;Department of Information Science and Intelligent Systems, Faculty of Engineering, The University of Tokushima, Tokushima-shi, Japan and School of Information Engineering, Beijing University of Po ...;Department of Information Science and Intelligent Systems, Faculty of Engineering, The University of Tokushima, Tokushima-shi, Japan
Venue:
ICIC'06 Proceedings of the 2006 international conference on Intelligent computing: Part II
Year:
2006

Citing 1
Cited 2

A chat system based on emotion estimation from text and embodied conversational messengers

ICEC'05 Proceedings of the 4th international conference on Entertainment Computing

Emotion estimation algorithm based on interpersonal emotion included in emotional dialogue sentences

MICAI'07 Proceedings of the artificial intelligence 6th Mexican international conference on Advances in artificial intelligence
Automatically annotating a five-billion-word corpus of Japanese blogs for affect and sentiment analysis

WASSA '12 Proceedings of the 3rd Workshop in Computational Approaches to Subjectivity and Sentiment Analysis

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, we build a Japanese emotion corpus and perform statistical analysis on it. We manually entered in about 1,200 example dialogue sentences. We collected statistical information from the corpus to analyze the way emotion is expressed in Japanese dialogue. Such statistics should prove useful for dealing with emotion in natural language. We believe the collected statistics accurately describe emotion in Japanese dialogue.