Facebook pixel tracking

The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.

Contact Info
Email info@thesai.org
Website thesai.org
Follow Us
Contact Info
Email info@thesai.org
Follow Us
Research Article | Open Access |

On the Distinction of Subjectivity and Objectivity of Emotions in Texts

Author 1: Manh Hung Nguyen
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 9, No. 9 · Published 2018

DOI: https://doi.org/10.14569/IJACSA.2018.090974

Download PDF Cite Call for Papers

Abstract

Emotion classification in texts is an instance of the text classification problem. It therefore could apply some existing text classifiers by considering each emotion as a label of the text. However, most of recent works does not differentiate the subjectivity and objectivity of the same emotion in the text. This paper firstly builds some datasets whose labels are emotion, in which the subject and object of the same emotion are considered as two separated labels. Secondly, this paper evaluates some existing classifiers via some scenarios on the built datasets. The results are then discussed on some difficulties of these kinds of problem.

Keywords

Text classification Emotion classification subjec-tive emotion objective emotion

How to Cite this Article

Nguyen, M. H. (2018). On the Distinction of Subjectivity and Objectivity of Emotions in Texts. International Journal of Advanced Computer Science and Applications, 9(9). https://doi.org/10.14569/IJACSA.2018.090974

Nguyen, Manh Hung. "On the Distinction of Subjectivity and Objectivity of Emotions in Texts." International Journal of Advanced Computer Science and Applications, vol. 9, no. 9, 2018, https://doi.org/10.14569/IJACSA.2018.090974.

@article{Nguyen2018,
  title     = {On the Distinction of Subjectivity and Objectivity of Emotions in Texts},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {9},
  number    = {9},
  year      = {2018},
  publisher = {The Science and Information Organization},
  author    = {Manh Hung Nguyen},
  doi       = {10.14569/IJACSA.2018.090974},
  url       = {https://doi.org/10.14569/IJACSA.2018.090974}
}

Open Access — licensed under a Creative Commons Attribution 4.0 International License. Unrestricted use, distribution, and reproduction in any medium, even commercially, as long as the original work is properly cited.

Back to Issue
IJACSA Journal Cover

IJACSA