Comparing Hierarchical Approaches to Enhance Supervised Emotive Text Classification

Abstract

This paper provides a comparative investigation into how methods used in hierarchical classification problems in other domains, which extend traditional evaluation metrics to consider the characteristics of the hierarchical classification scheme, can be applied and subsequently improve the classification of emotive texts.

Type
Publication
Journal of Big Data and Cognitive Computing