Semantic Tagging at the Sense Level

Book One

Volume

Proceedings of the AAAI Conference on Artificial Intelligence, 21

AAAI Member Abstracts

This paper summarizes our research in the area of semantic tagging at the word and sense levels and sets the ground for a new approach to text-level sentiment annotation using a combination of machine learning and linguistically-motivated techniques. We describe a system for sentiment tagging of words and senses based on WordNet glosses and advance the treatment of sentiment as a fuzzy category.