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Volumn 52, Issue 6, 2010, Pages 6-

Machines that learn how to code open-ended survey data

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Indexed keywords


EID: 84857823827     PISSN: 14707853     EISSN: None     Source Type: Journal    
DOI: 10.2501/s147078531020165x     Document Type: Article
Times cited : (42)

References (21)
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    • Coding-Module reviewed
    • Macer, T. (2007a) Coding-Module reviewed. Research, 490, pp. 42-43.
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    • WordStat from Provalis Research
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    • O'Hara, T.J. Macer, T. (2005) Confirmit 9.0 reviewed. Research, 465, pp. 36-37.
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    • 47249095153 scopus 로고    scopus 로고
    • Open-ended vs close-ended questions in web questionnaires
    • In: A. Ferligoj A. Mrvar, Faculty of Social Sciences, University of Ljubljana Ljubljana, SL
    • Reja, U., Manfreda, K.L., Hlebec, V. Vehovar, V. (2003) Open-ended vs close-ended questions in web questionnaires. In: A. Ferligoj A. Mrvar (eds) Developments in Applied Statistics. Ljubljana, SL: Faculty of Social Sciences, University of Ljubljana, pp. 159-177.
    • (2003) Developments In Applied Statistics , pp. 159-177
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    • Machine learning in automated text categorization
    • Sebastiani, F. (2002) Machine learning in automated text categorization. ACM Computing Surveys, 34, 1, pp. 1-47.
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    • The effect of coding error on time use surveys estimates
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.