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.

Manh Hung Nguyen, “On the Distinction of Subjectivity and Objectivity of Emotions in Texts” International Journal of Advanced Computer Science and Applications(IJACSA), 9(9), 2018. http://dx.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},
doi = {10.14569/IJACSA.2018.090974},
url = {http://dx.doi.org/10.14569/IJACSA.2018.090974},
year = {2018},
publisher = {The Science and Information Organization},
volume = {9},
number = {9},
author = {Manh Hung Nguyen}
}