The Semantic Web emerged as an extension to the traditional Web, adding meaning
(semantics) to a distributed Web of structured and linked information. At its core, the concept …

Feature selection is of vital concern in text classification to reduce the high dimensionality of
feature space. The wide range of statistical techniques which have been proposed for …

A natural language processing (NLP) application requires sophisticated lexical resources to
support its processing goals. Different solutions, such as dictionary lookup and MetaMap …

语义化学习资源的设计与建设已经成为e-Learning 领域研究的热点. 该文提出一种“语义基因”
的概念来表征学习资源的语义特征, 并对语义基因的自动提取方法进行了研究 …

Opinion targets identification is an important task of the opinion mining problem. Several
approaches have been employed for this task, which can be broadly divided into two major …

The proliferation of deliverable knowledge on the web, along with the rapidly increasing
number of accessible research publications, make researchers, students, and educators …

Since its inception in 1960, text classification has had a long history. Since then, Text
classification has benefited much from the study. Some studies have modified the original …

“Three passions, simple but overwhelmingly strong, have governed my life: the longing for
love, the search for knowledge, and unbearable pity for the suffering of mankind.” Bertrand …

Perhaps BigData is one of the hottest topics nowadays due to the development of Web 2.0.
As more and more data are available, relevant information becomes increasingly more …

The under-explored research area of multi-label text classification has led to substantial
amount of research in adapting feature selection techniques to handle multi-label data …