A Study of automatic tallying-up method for open-ended questions in the questionnaire survey and automatic generation for select appropriate questions

2004 Fiscal Year Final Research Report Summary

• Project/Area Number: 14580350
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Single-year Grants
• Section: 一般
• Research Field: Statistical science
• Research Institution: Tokyo Denki University
• Principal Investigator: YAGUCHI Hiroyuki Tokyo Denki University, School of Science and Engineering, Associate Professor, 理工学部, 助教授 (30210230)
• Project Period (FY): 2002 – 2004
• Keywords: text mining / questionnaire surveys / open-ended questions / Morphological analysis / Clustering

Research Abstract

The First year of our research, we developed the sentence clustering systems which classify the sentences in questionnaire survey. Our sentence clustering system classifies sentences based on the type of morpheme and it's kind of the parts of speech which form the sentences. We questionnaire survey did in order to gather the data which is necessary for the test of our system. We examined 3 methods for suitable data entry method from OCR, speech recognition and typing. The result of experiment, we find the most suited data entry method as speech recognition.
2nd year of our research, we examine our system in use some Questionnaire surveys. The result of experiment, we confirm our developed system is effective.
The last year of our research, mainly we appraised our system between our system and other system. We research commercial based text mining systems, and we compeer with our system with another text mining system. At the results, we find our system have same performance with another commercial base text mining system. And we find week point of our system. In the future, we continue development of our system.