Add to ORKGThis paper presents a method for identifying concepts in microposts and classifying them into a predefined set of categories. The method relies on the DBpedia knowledge base to identify the types of the concepts detected in the messages. For those concepts that are not classified in the ontology we infer their types via the ontology properties which characterise the type
This research developed a concept indexing framework which systematically integrates machine learnin...
Microposts are small fragments of social media content and a popular medium for sharing facts, opini...
Abstract. Automatically discovering concepts is not only a fundamental task in knowledge capturing a...
This paper presents a method for identifying concepts in microposts and classifying them into a pred...
The social networking website Facebook offers to its users a feature called “status updates” (or jus...
Microposts are small fragments of social media content that have been published using a lightweight ...
Abstract—An ontology is a structured knowledgebase of concepts organized by relations among them. Bu...
In recent years Twitter has become one of the largest online microblogging platforms. Microblogging ...
This paper describes a method for identifying topics in text published in social media, by applying ...
Short text messages, a.k.a microposts (e.g., tweets), have proven to be an effective channel for rev...
none1noThe Semantic Web offers a generic infrastructure for interchange, integration and creative re...
This paper presents a new approach to identifying concepts expressed in a collection of email messag...
Abstract: Intelligent agent based system can be used to identify high-level concepts matching sets o...
Short text messages a.k.a Microposts (e.g. Tweets) have proven to be an effective channel for reveal...
Nowadays, ontologies are the only widely accepted paradigm for the management of sharable and reusab...
This research developed a concept indexing framework which systematically integrates machine learnin...
Microposts are small fragments of social media content and a popular medium for sharing facts, opini...
Abstract. Automatically discovering concepts is not only a fundamental task in knowledge capturing a...
This paper presents a method for identifying concepts in microposts and classifying them into a pred...
The social networking website Facebook offers to its users a feature called “status updates” (or jus...
Microposts are small fragments of social media content that have been published using a lightweight ...
Abstract—An ontology is a structured knowledgebase of concepts organized by relations among them. Bu...
In recent years Twitter has become one of the largest online microblogging platforms. Microblogging ...
This paper describes a method for identifying topics in text published in social media, by applying ...
Short text messages, a.k.a microposts (e.g., tweets), have proven to be an effective channel for rev...
none1noThe Semantic Web offers a generic infrastructure for interchange, integration and creative re...
This paper presents a new approach to identifying concepts expressed in a collection of email messag...
Abstract: Intelligent agent based system can be used to identify high-level concepts matching sets o...
Short text messages a.k.a Microposts (e.g. Tweets) have proven to be an effective channel for reveal...
Nowadays, ontologies are the only widely accepted paradigm for the management of sharable and reusab...
This research developed a concept indexing framework which systematically integrates machine learnin...
Microposts are small fragments of social media content and a popular medium for sharing facts, opini...
Abstract. Automatically discovering concepts is not only a fundamental task in knowledge capturing a...