Sentilo: Frame-Based Sentiment Analysis

作者: Diego Reforgiato Recupero , Valentina Presutti , Sergio Consoli , Aldo Gangemi , Andrea Giovanni Nuzzolese

DOI: 10.1007/S12559-014-9302-Z

关键词: Frame basedLinked dataInformation retrievalSemanticsSentiment analysisComputer scienceSemantic WebNatural language processingArtificial intelligenceSentenceIdentity (object-oriented programming)Lexical resource

摘要: Sentilo is an unsupervised, domain-independent system that performs sentiment analysis by hybridizing natural language processing techniques and semantic Web technologies. Given a sentence expressing opinion, recognizes its holder, detects the topics subtopics it targets, links them to relevant situations events referred evaluates expressed on each topic/subtopic. relies novel lexical resource, which enables proper propagation of scores from subtopics, formal model semantics opinion sentences. provides output as RDF graph, whenever possible resolves holders’ topics’ identity Linked Data.

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