Journal
COGNITIVE COMPUTATION
Volume 7, Issue 2, Pages 211-225Publisher
SPRINGER
DOI: 10.1007/s12559-014-9302-z
Keywords
Opinion mining; Sentic computing; Sentiment analysis; Conceptual frames
Funding
- PRISMA (PiattafoRme cloud Interoperabili per SMArt-government) Project - MIUR (Ministero dell'Istruzione, dell'Universita e della Ricerca)
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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 an opinion, Sentilo recognizes its holder, detects the topics and subtopics that it targets, links them to relevant situations and events referred to by it and evaluates the sentiment expressed on each topic/subtopic. Sentilo relies on a novel lexical resource, which enables a proper propagation of sentiment scores from topics to subtopics, and on a formal model expressing the semantics of opinion sentences. Sentilo provides its output as a RDF graph, and whenever possible it resolves holders' and topics' identity on Linked Data.
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