Resumen
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.
Idioma original | Inglés |
---|---|
Páginas (desde-hasta) | 19-24 |
Número de páginas | 6 |
Publicación | CEUR Workshop Proceedings |
Volumen | 1141 |
Estado | Publicada - 2014 |
Publicado de forma externa | Sí |
Evento | 4th Workshop on Making Sense of Microposts, #Microposts 2014, at the 23rd International Conference on the World Wide Web, WWW 2014 - Seoul, República de Corea Duración: 7 abr. 2014 → 7 abr. 2014 |