Add to ORKGThis paper describes a method for identifying topics in text published in social media, by applying topic recognition techniques that exploit DBpedia. We evaluate such method for social media in Spanish and we provide the results of the evaluation performed
News articles often reflect an opinion or point of view, with certain topics evoking more diverse op...
The increasing amount of Web-based tasks is currently requiring personalization strategies to improv...
Abstract. News articles often reflect an opinion or point of view, with certain topics evoking more ...
This paper describes a method for identifying topics in text published in social media, by applying ...
Twitter is an extremely high volume platform for user generated contributions regarding any topic. T...
This paper presents a method for identifying concepts in microposts and classifying them into a pred...
As we witness the prosperity of the social media in the past few years, and feel the explosion of "u...
Currently exist a large amount of news in a digital format that need to be classified or labeled aut...
This paper focuses on topic-based prediction of interest of individual users to posts in the context...
Much valuable information is embedded in social media posts (microposts) which are contributed by a ...
In online social media, users become information creators and disseminators through the active inter...
The process whereby inferences are made from textual data is broadly referred to as text mining. In ...
Topic classification of texts is one of the most interesting challenges in Natural Language Processi...
[[abstract]]In recent years, micro-blogging has been widely used by users. Micro-blog users usually ...
This paper proposes the analysis of the influence of terms that express feelings in the automatic d...
News articles often reflect an opinion or point of view, with certain topics evoking more diverse op...
The increasing amount of Web-based tasks is currently requiring personalization strategies to improv...
Abstract. News articles often reflect an opinion or point of view, with certain topics evoking more ...
This paper describes a method for identifying topics in text published in social media, by applying ...
Twitter is an extremely high volume platform for user generated contributions regarding any topic. T...
This paper presents a method for identifying concepts in microposts and classifying them into a pred...
As we witness the prosperity of the social media in the past few years, and feel the explosion of "u...
Currently exist a large amount of news in a digital format that need to be classified or labeled aut...
This paper focuses on topic-based prediction of interest of individual users to posts in the context...
Much valuable information is embedded in social media posts (microposts) which are contributed by a ...
In online social media, users become information creators and disseminators through the active inter...
The process whereby inferences are made from textual data is broadly referred to as text mining. In ...
Topic classification of texts is one of the most interesting challenges in Natural Language Processi...
[[abstract]]In recent years, micro-blogging has been widely used by users. Micro-blog users usually ...
This paper proposes the analysis of the influence of terms that express feelings in the automatic d...
News articles often reflect an opinion or point of view, with certain topics evoking more diverse op...
The increasing amount of Web-based tasks is currently requiring personalization strategies to improv...
Abstract. News articles often reflect an opinion or point of view, with certain topics evoking more ...