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Sentiment Analysis for Social Text
Nir Ofek
Department of Software and Information Systems Engineering
Research output
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Chapter in Book/Report/Conference proceeding
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peer-review
Overview
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Dive into the research topics of 'Sentiment Analysis for Social Text'. Together they form a unique fingerprint.
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Computer Science
Artificial Intelligence
50%
Level Sentiment Analysis
50%
Ontology
50%
Population Survey
50%
Sentiment Analysis
100%
Psychology
Artificial Intelligence
100%
Digital Communication
100%
Keyphrases
Informal Text
50%
Method Resource
50%
Sentence-level Sentiment Analysis
50%
Text Sets
50%
Biochemistry, Genetics and Molecular Biology
Artificial Intelligence
100%