Detail Mining Open Answers in Questionnaire Data   Oleh:  Li, Hang ; Yamanishi, K. Jenis: Article from Bulletin/Magazine Dalam koleksi: IEEE Intelligent Systems vol. 17 no. 5 (2002), page 58-63. Topik: QUESTIONNAIRE; mining open answers; questionnaire data Ketersediaan Perpustakaan Pusat (Semanggi) Nomor Panggil: II60.5 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada     Lihat Detail Induk Isi artikel Surveys are important tools for marketing and for managing customer relationships ; the answers to open - ended questions, in particular, often contain valuable information and provide an important basis for business decisions. The summaries that human analysts make of these open answers, however, tend to rely too much on intuition and so aren't satisfactorily reliable. Moreover, because the Web makes it so easy to take surveys and solicit comments, companies are finding themselves inundated with data from questionnaires and other sources. Handling it all manually would be not only cumbersome but also costly. Thus, devising a computer system that can automatically mine useful information from open answers has become an important issue. We have developed a survey analysis system that works on these principles. The system mines open answers through two statistical learning techniques : rule learning (which we call rule analysis) and correspondence analysis. Opini Anda Klik untuk menuliskan opini Anda tentang koleksi ini! Kembali

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