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Can machines sense irony? : exploring automatic irony detection on social media

Cynthia Van Hee (UGent)
(2017)
Author
Promoter
(UGent) and (UGent)
Organization
Keywords
social media, fine-grained irony annotation, automatic irony detection, modelling implicit sentiment, sentiment analysis

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Citation

Please use this url to cite or link to this publication:

Chicago
Van Hee, Cynthia. 2017. “Can Machines Sense Irony? : Exploring Automatic Irony Detection on Social Media”. Ghent, Belgium: Ghent University. Faculty of Arts and Philosophy.
APA
Van Hee, C. (2017). Can machines sense irony? : exploring automatic irony detection on social media. Ghent University. Faculty of Arts and Philosophy, Ghent, Belgium.
Vancouver
1.
Van Hee C. Can machines sense irony? : exploring automatic irony detection on social media. [Ghent, Belgium]: Ghent University. Faculty of Arts and Philosophy; 2017.
MLA
Van Hee, Cynthia. “Can Machines Sense Irony? : Exploring Automatic Irony Detection on Social Media.” 2017 : n. pag. Print.
@phdthesis{8531569,
  author       = {Van Hee, Cynthia},
  keyword      = {social media,fine-grained irony annotation,automatic irony detection,modelling implicit sentiment,sentiment analysis},
  language     = {eng},
  pages        = {XII, 162},
  publisher    = {Ghent University. Faculty of Arts and Philosophy},
  school       = {Ghent University},
  title        = {Can machines sense irony? : exploring automatic irony detection on social media},
  year         = {2017},
}