抄録
Text mining has been growing; mainly due to the need to extract useful information from vast amounts of textual data. The target textual data of this paper is a collection of free descriptive data taken from questionnaires. Unlike research papers, newspaper articles, call center logs and web pages, which are usually the targets in text mining analysis, the free description data contained in the questionnaire responses have specific characteristics, including a small number of short sentences in each piece of data, while the varieties of contents preclude the applications of clustering algorithms used to classify the same.
In this paper, we suggest the way to extract the opinions which are delivered by multiple respondents, based on the modification relationships included in each sentence in the free description data. Certain applications of our method are also presented after the introduction of our methodology.
