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Fine-grained analysis of explicit and implicit sentiment in financial news articles

(2015) EXPERT SYSTEMS WITH APPLICATIONS. 42(11). p.4999-5010
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LT3
Keywords
Financial news, Automatic sentiment analysis, AGREEMENT, RETURNS, INVESTOR SENTIMENT, STOCK-MARKET, INFORMATION, PREDICTION, VOLATILITY

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Citation

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

Chicago
Van de Kauter, Marjan, Diane Breesch, and Veronique Hoste. 2015. “Fine-grained Analysis of Explicit and Implicit Sentiment in Financial News Articles.” Expert Systems with Applications 42 (11): 4999–5010.
APA
Van de Kauter, M., Breesch, D., & Hoste, V. (2015). Fine-grained analysis of explicit and implicit sentiment in financial news articles. EXPERT SYSTEMS WITH APPLICATIONS, 42(11), 4999–5010.
Vancouver
1.
Van de Kauter M, Breesch D, Hoste V. Fine-grained analysis of explicit and implicit sentiment in financial news articles. EXPERT SYSTEMS WITH APPLICATIONS. Elsevier; 2015;42(11):4999–5010.
MLA
Van de Kauter, Marjan, Diane Breesch, and Veronique Hoste. “Fine-grained Analysis of Explicit and Implicit Sentiment in Financial News Articles.” EXPERT SYSTEMS WITH APPLICATIONS 42.11 (2015): 4999–5010. Print.
@article{5868126,
  author       = {Van de Kauter, Marjan and Breesch, Diane and Hoste, Veronique},
  issn         = {0957-4174},
  journal      = {EXPERT SYSTEMS WITH APPLICATIONS},
  language     = {eng},
  number       = {11},
  pages        = {4999--5010},
  publisher    = {Elsevier},
  title        = {Fine-grained analysis of explicit and implicit sentiment in financial news articles},
  url          = {http://dx.doi.org/10.1016/j.eswa.2015.02.007},
  volume       = {42},
  year         = {2015},
}

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