Advanced search
1 file | 2.25 MB Add to list

The good, the bad and the implicit: a comprehensive approach to annotating explicit and implicit sentiment

Marjan Van de Kauter (UGent) , Bart Desmet (UGent) and Veronique Hoste (UGent)
Author
Organization
Abstract
We present a fine-grained scheme for the annotation of polar sentiment in text, that accounts for explicit sentiment (so-called private states), as well as implicit expressions of sentiment (polar facts). Polar expressions are annotated below sentence level and classified according to their subjectivity status. Additionally, they are linked to one or more targets with a specific polar orientation and intensity. Other components of the annotation scheme include source attribution and the identification and classification of expressions that modify polarity. In previous research, little attention has been given to implicit sentiment, which represents a substantial amount of the polar expressions encountered in our data. An English and Dutch corpus of financial newswire, consisting of over 45,000 words each, was annotated using our scheme. A subset of this corpus was used to conduct an inter-annotator agreement study, which demonstrated that the proposed scheme can be used to reliably annotate explicit and implicit sentiment in real-world textual data, making the created corpora a useful resource for sentiment analysis.
Keywords
sentiment analysis, EMOTIONS, corpus annotation, natural language processing, AGREEMENT, polarity

Downloads

  • art 3A10.1007 2Fs10579-015-9297-4.pdf
    • full text
    • |
    • open access
    • |
    • PDF
    • |
    • 2.25 MB

Citation

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

MLA
Van de Kauter, Marjan, et al. “The Good, the Bad and the Implicit: A Comprehensive Approach to Annotating Explicit and Implicit Sentiment.” LANGUAGE RESOURCES AND EVALUATION, vol. 49, no. 3, Springer Netherlands, 2015, pp. 685–720, doi:10.1007/s10579-015-9297-4.
APA
Van de Kauter, M., Desmet, B., & Hoste, V. (2015). The good, the bad and the implicit: a comprehensive approach to annotating explicit and implicit sentiment. LANGUAGE RESOURCES AND EVALUATION, 49(3), 685–720. https://doi.org/10.1007/s10579-015-9297-4
Chicago author-date
Van de Kauter, Marjan, Bart Desmet, and Veronique Hoste. 2015. “The Good, the Bad and the Implicit: A Comprehensive Approach to Annotating Explicit and Implicit Sentiment.” LANGUAGE RESOURCES AND EVALUATION 49 (3): 685–720. https://doi.org/10.1007/s10579-015-9297-4.
Chicago author-date (all authors)
Van de Kauter, Marjan, Bart Desmet, and Veronique Hoste. 2015. “The Good, the Bad and the Implicit: A Comprehensive Approach to Annotating Explicit and Implicit Sentiment.” LANGUAGE RESOURCES AND EVALUATION 49 (3): 685–720. doi:10.1007/s10579-015-9297-4.
Vancouver
1.
Van de Kauter M, Desmet B, Hoste V. The good, the bad and the implicit: a comprehensive approach to annotating explicit and implicit sentiment. LANGUAGE RESOURCES AND EVALUATION. 2015;49(3):685–720.
IEEE
[1]
M. Van de Kauter, B. Desmet, and V. Hoste, “The good, the bad and the implicit: a comprehensive approach to annotating explicit and implicit sentiment,” LANGUAGE RESOURCES AND EVALUATION, vol. 49, no. 3, pp. 685–720, 2015.
@article{5852316,
  abstract     = {{We present a fine-grained scheme for the annotation of polar sentiment in text, that accounts for explicit sentiment (so-called private states), as well as implicit expressions of sentiment (polar facts). Polar expressions are annotated below sentence level and classified according to their subjectivity status. Additionally, they are linked to one or more targets with a specific polar orientation and intensity. Other components of the annotation scheme include source attribution and the identification and classification of expressions that modify polarity. In previous research, little attention has been given to implicit sentiment, which represents a substantial amount of the polar expressions encountered in our data. An English and Dutch corpus of financial newswire, consisting of over 45,000 words each, was annotated using our scheme. A subset of this corpus was used to conduct an inter-annotator agreement study, which demonstrated that the proposed scheme can be used to reliably annotate explicit and implicit sentiment in real-world textual data, making the created corpora a useful resource for sentiment analysis.}},
  author       = {{Van de Kauter, Marjan and Desmet, Bart and Hoste, Veronique}},
  issn         = {{1574-020X}},
  journal      = {{LANGUAGE RESOURCES AND EVALUATION}},
  keywords     = {{sentiment analysis,EMOTIONS,corpus annotation,natural language processing,AGREEMENT,polarity}},
  language     = {{eng}},
  number       = {{3}},
  pages        = {{685--720}},
  publisher    = {{Springer Netherlands}},
  title        = {{The good, the bad and the implicit: a comprehensive approach to annotating explicit and implicit sentiment}},
  url          = {{http://doi.org/10.1007/s10579-015-9297-4}},
  volume       = {{49}},
  year         = {{2015}},
}

Altmetric
View in Altmetric
Web of Science
Times cited: