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We present a lexicon-based approach to extracting sentiment from text. The Semantic Orientation CALculator (SO-CAL) uses dictionaries of words annotated with their semantic orientation
(polarity and ...
Unsupervised vector-based approaches to semantics can model rich lexical meanings, but they largely fail to capture sentiment information that is central to many word meanings and important for a wide...
Multi-Dimensional Sentiment Analysis with Learned Representations
Multi-Dimensional Sentiment Analysis Learned Representations
2015/6/15
Treating sentiment analysis as a classification problem has proven extremely useful, but it misses the blended, continuous nature of sentiment expression in natural language. Using data from the Exper...
Exploiting Social Network Structure for Person-to-Person Sentiment Analysis
Social Network Structure Person-to-Person Sentiment Analysis
2015/6/15
Person-to-person evaluations are prevalent in all kinds of discourse and important for establishing reputations, building social bonds,and shaping public opinion. Such evaluations can be analyzed sepa...