fuzzy
Mining WordNet for fuzzy sentiment: Sentiment tag extraction from WordNet glosses
Submitted by Fred Durao on Thu, 04/29/2010 - 10:50.Host Title:
In Proceedings of EACL-06, 11th Conference of the European Chapter of the Association for Computational Linguistics.
Many of the tasks required for semantic tagging of phrases and texts rely on a list of words annotated with some semantic features. We present a method for extracting sentiment-bearing adjectives from WordNet using the Sentiment Tag Extraction Program (STEP). We did 58 STEP runs on unique non-intersecting seed lists drawn from manually annotated list of positive and negative adjectives and evaluated the results against other manually annotated lists. The 58 runs were then collapsed into a single set of 7, 813 unique words.
Event Location:
Trento, IT
Year:
2006
Type of paper:
Article in Proceedings (WS or C)
Publisher:
ACL Anthology