Computational linguistics based text emotion analysis using enhanced beetle antenna search with deep learning during COVID-19 pandemic.

ABSTRACT: Computational intelligence and nature-inspired computing have changed the way biologically and linguistically driven computing paradigms are made. In the last few decades, they have been used more and more to solve optimisation problems in the real world. Computational linguistics has its roots in linguistics, but most of the studies being done today are led by computer scientists. Data-driven and machine-learning methods have become more popular than handwritten language rules, which shows this shift. This study uses a new method called Computational Linguistics-based mood Analysis using Enhanced Beetle Antenna Search with deep learning (CLSA-EBASDL) to tackle the important problem of mood analysis during the COVID-19 pandemic. We sought to determine how people felt about the COVID-19 pan

SUBMITTER: Alotaibi Y 

PROVIDER: S-EPMC10773760 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature