Improving Sentiment Classification Performance through Coaching Architectures.

ABSTRACT: Intelligent systems have been developed for years to solve specific tasks automatically. An important issue emerges when the information used by these systems exhibits a dynamic nature and evolves. This fact adds a level of complexity that makes these systems prone to a noticeable worsening of their performance. Thus, their capabilities have to be upgraded to address these new requirements. Furthermore, this problem is even more challenging when the information comes from human individuals and their interactions through language. This issue happens more easily and forcefully in the specific domain of Sentiment Analysis, where feelings and opinions of humans are in constant evolution. In this context, systems are trained with an enormous corpus of textual content, or they include an extensi

SUBMITTER: Fernandez-Isabel A 

PROVIDER: S-EPMC9043891 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature