publication . Other literature type . Article . 2011

Self-training from labeled features for sentiment analysis

He, Yulan; Zhou, Deyu;
  • Published: 01 Jul 2011
  • Publisher: Elsevier BV
  • Country: United Kingdom
Abstract
Sentiment analysis concerns about automatically identifying sentiment or opinion expressed in a given piece of text. Most prior work either use prior lexical knowledge defined as sentiment polarity of words or view the task as a text classification problem and rely on labeled corpora to train a sentiment classifier. While lexicon-based approaches do not adapt well to different domains, corpus-based approaches require expensive manual annotation effort. In this paper, we propose a novel framework where an initial classifier is learned by incorporating prior information extracted from an existing sentiment lexicon with preferences on expectations of sentiment labe...
Subjects
ACM Computing Classification System: ComputingMethodologies_PATTERNRECOGNITIONInformationSystems_INFORMATIONSTORAGEANDRETRIEVAL
free text keywords: Self training, Natural language processing, computer.software_genre, computer, Manual annotation, Classifier (linguistics), Information retrieval, Computer science, Data mining, Lexical knowledge, Lexicon, Artificial intelligence, business.industry, business, Sentiment analysis
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