We present the tool used for the Concept-Level Sentiment Analysis Challenge ESWC-CLSA 2015 Task #1, concerning binary polarity detection of the sentiment of a sentence. Our tool is a little modification of Sentilo , an unsupervised, domain-independent system, previously developed by our group, that performs sentiment analysis by hybridizing natural language processing techniques with semantic web technologies. Sentilo is able to recognize the opinion holder and measure the sentiment expressed on topics and sub-topics. The knowledge extracted from the text is represented by means of an RDF graph. Holders and topics are linked to external knowledge. Sentilo is available as a REST service as well as a user-friendly demo.
Detecting sentiment polarities with sentilo
Contributo in volume
Springer-Verlag, Berlin, DEU
Semantic Web Evaluation Challenges, edited by Gandon, Fabien; Cabrio, Elena; Stankovic, Milan; Zimmermann, Antoine, pp. 244–250. Berlin: Springer-Verlag, 2015