Add to ORKGThe bag-of-concepts model can represent semantics associated with natural language text much better than bags-of-words. In the bag-of-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 senti-ment analysis, which provides semantics and sentics (that is, deno-tative and connotative information) associated with 15,000 natural language concepts
As the web is rapidly evolving, web users are evolving with it. In the era of social colonisation, p...
In this work, we present OntoSenticNet, a commonsense ontology for sentiment analysis based on Senti...
With the Web 2.0, the user is become an active part of the global network, by interacting with other...
The bag-of-concepts model can represent semantics associated with natural language text much better ...
SenticNet is a publicly available semantic and affective resource for concept-level sentiment analys...
Sentiment analysis in natural language text is a challenging task involving a deep understanding of ...
Next-generation patients are far from being peripheral to health-care. They are central to understan...
Today millions of web-users express their opinions about many topics through blogs, wikis, fora, cha...
The recent success of media-sharing services caused an exponential growth of community-contributed m...
A consequence of the massive use of social networks, blogs, wikis, etc., is the change of users’ beh...
With the introduction of social networks, blogs, wikis, etc., the users’ behavior and their interact...
SenticNet 1.0 is one of the most widely used, publicly available resources for concept-based opinion...
As the web is rapidly evolving, web users are evolving with it. In the era of social colonisation, p...
In this work, we present OntoSenticNet, a commonsense ontology for sentiment analysis based on Senti...
With the Web 2.0, the user is become an active part of the global network, by interacting with other...
The bag-of-concepts model can represent semantics associated with natural language text much better ...
SenticNet is a publicly available semantic and affective resource for concept-level sentiment analys...
Sentiment analysis in natural language text is a challenging task involving a deep understanding of ...
Next-generation patients are far from being peripheral to health-care. They are central to understan...
Today millions of web-users express their opinions about many topics through blogs, wikis, fora, cha...
The recent success of media-sharing services caused an exponential growth of community-contributed m...
A consequence of the massive use of social networks, blogs, wikis, etc., is the change of users’ beh...
With the introduction of social networks, blogs, wikis, etc., the users’ behavior and their interact...
SenticNet 1.0 is one of the most widely used, publicly available resources for concept-based opinion...
As the web is rapidly evolving, web users are evolving with it. In the era of social colonisation, p...
In this work, we present OntoSenticNet, a commonsense ontology for sentiment analysis based on Senti...
With the Web 2.0, the user is become an active part of the global network, by interacting with other...