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小郷原 一智 所属 京都産業大学 理学部 宇宙物理・気象学科 職種 准教授 |
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| 言語種別 | 英語 |
| 発行・発表の年月 | 2017/11/15 |
| 形態種別 | 研究論文（国際会議プロシーディングス） |
| 査読 | 査読あり |
| 標題 | Data Analysis Support by Combining Data Mining and Text Mining |
| 執筆形態 | その他 |
| 掲載誌名 | Proceedings - 2017 6th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2017 |
| 出版社・発行元 | Institute of Electrical and Electronics Engineers Inc. |
| 巻・号・頁 | pp.313-318 |
| 著者・共著者 | Tomoya Matsumoto,Wataru Sunayama,Yuji Hatanaka,Kazunori Ogohara |
| 概要 | In recent years, data mining and text mining techniques have been frequently used for analyzing questionnaire and review data. Data mining techniques such as association analysis and cluster analysis are used for marketing analysis, because those can discover relationships and rules hiding in enormous numerical data. On the other hand, text mining techniques such as keywords extraction and opinion extraction are used for questionnaire or review text analysis, because those can support us to investigate consumers opinion in text data. However, data mining tools and text mining tools cannot be used in a single environment. Therefore, a data which has both numerical and text data is not well analyzed because the numerical part and text part cannot be connected for interpretation.In this paper, a mining framework that can treat both numerical and text data is proposed. We can iterate data shrink and data analysis with both numerical and text analysis tools in the unique framework. Based on experimental results, the proposed system was effectively used to data analysis for review texts. |
| DOI | 10.1109/IIAI-AAI.2017.165 |
| Put Code(ORCID) | 52343298 |
| PermalinkURL | http://www.scopus.com/inward/record.url?eid=2-s2.0-85040562443&partnerID=MN8TOARS |
| researchmap用URL | http://orcid.org/0000-0001-7666-4442 |