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Semi-automated Methods for the Annotation and Design of a Semantic Network Designed for Sentiment Analysis of Social Web Content

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6 Author(s)
Barbagallo, D. ; Dept. of Electron. & Inf., Politec. di Milano, Milan, Italy ; Bruni, L. ; Francalanci, C. ; Giacomazzi, P.
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We have designed a new semantic network for the English language annotated with two types of domain knowledge: 1) general domain knowledge, represented as a sentiment polarity attached to relationships between words and 2) contextual knowledge, such as domain-specific proper names. In the context of social networks, such as Twitter, the evolution and maintenance of the network are particularly critical tasks for analysts not to incur in a quick obsolescence. We show how a set of semi-automated methodologies applied to our new semantic network show promising results on preliminary tests run using Twitter data.

Published in:

Database and Expert Systems Applications (DEXA), 2011 22nd International Workshop on

Date of Conference:

Aug. 29 2011-Sept. 2 2011