Sense-enhanced Sentiment Analysis
Organization
TartuNLP
Abstract
Contextualized word embeddings have been employed effectively across several tasks in NLP. In this study, the word sense disambiguation (WSD) technique will be applied along with the contextualized word embeddings to the existing sentiment datasets to capture more semantic information which helps to understand the attitudes, opinions, and emotions behind the text.
Graduation Theses defence year
2023-2024
Supervisor
Somnath Banerjee
Spoken language (s)
English
Requirements for candidates
Level
Bachelor, Masters
Keywords
Application of contact
Name
Somanth Banerjee
Phone
E-mail
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