Sentic API: A common-sense based API for concept-level sentiment analysis

Erik Cambria, Alexander Gelbukh, Soujanya Poria, Kenneth Kwok

Research output: Contribution to conferencePaper

9 Scopus citations

Abstract

The bag-of-concepts model can represent semantics associated with natural language text much better than bags-of-words. In the bagof- words model, in fact, a concept such as cloud computing would be split into two separate words, disrupting the semantics of the input sentence. Working at concept-level is important for tasks such as opinion mining, especially in the case of microblogging analysis. In this work, we present Sentic API, a common-sense based application programming interface for concept-level sentiment analysis, which provides semantics and sentics (that is, denotative and connotative information) associated with 15,000 natural language concepts.
Original languageAmerican English
Pages19-24
Number of pages16
StatePublished - 1 Jan 2014
Externally publishedYes
EventCEUR Workshop Proceedings -
Duration: 1 Jan 2017 → …

Conference

ConferenceCEUR Workshop Proceedings
Period1/01/17 → …

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Cite this

Cambria, E., Gelbukh, A., Poria, S., & Kwok, K. (2014). Sentic API: A common-sense based API for concept-level sentiment analysis. 19-24. Paper presented at CEUR Workshop Proceedings, .