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Volumn , Issue , 2017, Pages 69-74

Active learning with visualization for text data

Author keywords

Active learning; Text classification; Visualization

Indexed keywords

ARTIFICIAL INTELLIGENCE; CLASSIFICATION (OF INFORMATION); DATA VISUALIZATION; FLOW VISUALIZATION; LEARNING SYSTEMS; SUPERVISED LEARNING; TEXT PROCESSING; VISUALIZATION;

EID: 85016940229     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/3038462.3038469     Document Type: Conference Paper
Times cited : (13)

References (12)
  • 2
    • 84860524227 scopus 로고    scopus 로고
    • Biographies, bollywood, boom-boxes and blenders: Domain adaptation for sentiment classification
    • John Blitzer, Mark Dredze, Fernando Pereira, and others. 2007. Biographies, bollywood, boom-boxes and blenders: Domain adaptation for sentiment classification. In ACL, Vol. 7. 440-447.
    • (2007) ACL , vol.7 , pp. 440-447
    • Blitzer, J.1    Dredze, M.2    Pereira, F.3
  • 9
    • 0031630992 scopus 로고    scopus 로고
    • Learning to classify text from labeled and unlabeled documents
    • 1998
    • Kamal Nigam, Andrew McCallum, Sebastian Thrun, Tom Mitchell, and others. 1998. Learning to classify text from labeled and unlabeled documents. AAAI/IAAI 792 (1998).
    • (1998) AAAI/IAAI , vol.792
    • Nigam, K.1    McCallum, A.2    Thrun, S.3    Mitchell, T.4
  • 10
    • 68949137209 scopus 로고    scopus 로고
    • Computer Sciences Technical Report 1648. University of Wisconsin-Madison
    • Burr Settles. 2009. Active Learning Literature Survey. Computer Sciences Technical Report 1648. University of Wisconsin-Madison.
    • (2009) Active Learning Literature Survey
    • Settles, B.1
  • 11
    • 80053225377 scopus 로고    scopus 로고
    • Closing the loop: Fast, interactive semi-supervised annotation with queries on features and instances
    • Association for Computational Linguistics
    • Burr Settles. 2011. Closing the loop: Fast, interactive semi-supervised annotation with queries on features and instances. In Proceedings of the Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, 1467-1478.
    • (2011) Proceedings of the Conference on Empirical Methods in Natural Language Processing , pp. 1467-1478
    • Settles, B.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.