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Text Mining for Analysis of Interviews and Questionnaires
Abstract
Interviews and questionnaires are the basis for collecting information about the opinions, concerns and needs of people. Analysis of those texts is crucial to understand the kansei of people. Text mining is an approach to discover useful and interesting patterns, knowledge and information from texts. This chapter contains two sections on text mining for beginners of it. The first section gives a brief survey of basic text mining techniques, such as keyword extraction, word graphs, clustering of texts and association rule mining. The second section demonstrates an example of text mining applied to interview analysis. Two text mining systems - the concept graph system and the matrix search system - are applied to analyze 2,409 remarks about products and services from 19 people. The analysis shows that text mining systems with a search function achieve interactive analysis of texts and an examination of various problems that we targeted.
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