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Volumn 1, Issue , 2012, Pages 246-255

Emotional tweets

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); SOCIAL NETWORKING (ONLINE);

EID: 84996965983     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (394)

References (38)
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  • 3
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    • (2007) Text, Speech and Dialogue , pp. 196-205
    • Aman, S.1    Szpakowicz, S.2
  • 4
    • 78951477510 scopus 로고    scopus 로고
    • Modeling public mood and emotion: Twitter sentiment and socio-economic phenomena
    • Johan Bollen, Alberto Pepe, and Huina Mao. 2009.Modeling public mood and emotion: Twitter sentiment and socio-economic phenomena. CoRR.
    • (2009) CoRR
    • Bollen, J.1    Pepe, A.2    Mao, H.3
  • 8
    • 79957940922 scopus 로고    scopus 로고
    • Usin g a heterogeneous dataset for emotion analysis in text
    • Soumaya Chaffar and Diana Inkpen. 2011. Usin g a heterogeneous dataset for emotion analysis in text. In Canadian Conference on AI, pages 62-67.
    • (2011) Canadian Conference on AI , pp. 62-67
    • Chaffar, S.1    Inkpen, D.2
  • 11
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    • An argument for basic emotion
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    • Ekman, P.1
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    • Automated mark up of affective information in English texts
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    • Virginia Francisco and Pablo Gervas. 2006. Automated mark up of affective information in english texts. In Petr Sojka, Ivan Kopecek, and Karel Pala, editors, Text, Speech and Dialogue, volume 4188 of Lecture Notes in Computer Science, pages 375-382. Springer Berlin/Heidelberg.
    • (2006) Text, Speech and Dialogue , pp. 375-382
    • Francisco, V.1    Gervas, P.2
  • 17
    • 0345007713 scopus 로고    scopus 로고
    • Classification of emotions in internet chat: An application of machine learning using speech phonemes
    • Leigh University
    • Lars E. Holzman and William M. Pottenger. 2003. Classification of emotions in internet chat: An application of machine learning using speech phonemes. Technical report, Leigh University.
    • (2003) Technical Report
    • Holzman, L.E.1    Pottenger, W.M.2
  • 25
    • 84865500058 scopus 로고    scopus 로고
    • From once upon a time to happily ever after: Tracking emotions in mail and books
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    • Saif M. Mohammad. 2012a. From once upon a time to happily ever after: Tracking emotions in mail and books. To Appear in Decision Support Systems.
    • (2012) Decision Support Systems
    • Mohammad, S.M.1
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    • Using analytic qp and sparseness to speed training of support vector machines
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    • John Platt. 1999. Using analytic qp and sparseness to speed training of support vector machines. In In Neural Info. Processing Systems 11, pages 557-563. MIT Press.
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    • Platt, J.1
  • 30
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    • On emotion: The chickenand- egg problem revisited
    • Robert Plutchik. 1985. On emotion: The chickenand- egg problem revisited. Motivation and Emotion, 9(2):197-200.
    • (1985) Motivation and Emotion , vol.9 , Issue.2 , pp. 197-200
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    • Tapas Ray. 2011. The'story' of digital excess in revolutions of the arab spring. Journal of Media Practice, 12(2):189-196.
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    • Julia Skinner. 2011. Social media and revolution: The arab spring and the occupy movement as seen through three information studies paradigms. Sprouts: Working Papers on Information Systems, 11(169).
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    • Skinner, J.1
  • 34
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    • Semeval- 2007 task 14: Affective text
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    • Strapparava, C.1    Mihalcea, R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.