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A machine-learning approach to negation and speculation detection for sentiment analysis

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  • Noa P. Cruz
  • Maite Taboada
  • Ruslan Mitkov

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  • Noa P. Cruz & Maite Taboada & Ruslan Mitkov, 2016. "A machine-learning approach to negation and speculation detection for sentiment analysis," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(9), pages 2118-2136, September.
    • Handle: RePEc:bla:jinfst:v:67:y:2016:i:9:p:2118-2136
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    File URL: http://hdl.handle.net/10.1002/asi.23533
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    Cited by:

    1. Chen, Chaomei & Song, Min & Heo, Go Eun, 2018. "A scalable and adaptive method for finding semantically equivalent cue words of uncertainty," Journal of Informetrics, Elsevier, vol. 12(1), pages 158-180.
    2. David M. Goldberg & Nohel Zaman & Arin Brahma & Mariano Aloiso, 2022. "Are mortgage loan closing delay risks predictable? A predictive analysis using text mining on discussion threads," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(3), pages 419-437, March.

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