Lexical chaining is a technique for identifying semanticallyrelated terms in text. We propose concept chaining to link semantically-related concepts within biomedical text togethe...
This paper proposes a novel framework for automatic text categorization problem based on the kernel density classifier. The overall goal is to tackle two main issues in automatic ...
Dwi Sianto Mansjur, Ted S. Wada, Biing-Hwang Juang
Abstract. The need of the current Natural Language Processing applications to identify text segments that express the same meaning in different ways, evolved into the identificatio...
Co-occurrence data is quite common in many real applications. Latent Semantic Analysis (LSA) has been successfully used to identify semantic relations in such data. However, LSA c...
We propose a new algorithm for dimensionality reduction and unsupervised text classification. We use mixture models as underlying process of generating corpus and utilize a novel,...