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 language | English |
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Pages (from-to) | 19-24 |
Number of pages | 6 |
Journal | CEUR Workshop Proceedings |
Volume | 1141 |
State | Published - 2014 |
Externally published | Yes |
Event | 4th Workshop on Making Sense of Microposts, #Microposts 2014, at the 23rd International Conference on the World Wide Web, WWW 2014 - Seoul, Korea, Republic of Duration: 7 Apr 2014 → 7 Apr 2014 |
Keywords
- Natural language processing
- Sentiment analysis