Document Clustering Using Reference Titles

Extracting Lexico-semantic Relations from Document Titles Using Sublanguage Analysis

The sublanguage analysis methodology is based on the theory that texts generated by a group of people possess their own lexical, syntactic, and semantic characteristics. The main thrust of the research reported here is to apply the methodology to Korean document titles, reflecting the fact that there has been little research in applying the methodology for the Korean language although much rese...

Classifying Document Titles Based on Information Inference

We propose an intelligent document title classification agent based on a theory of information inference. The information is represented as vectorial spaces computed by a cognitively motivated model, namely Hyperspace Analogue to Language (HAL). A combination heuristic is used to combine a group of concepts into one single combination vector. Information inference can be performed on the HAL sp...

Online Document Clustering Using GPUs

An algorithm for performing online clustering on the GPU is proposed which makes heavy use of the atomic operations available on the GPU. The algorithm can cluster multiple documents in parallel in way that can saturate all the parallel threads on the GPU. The algorithm takes advantage of atomic operations available on the GPU in order to cluster multiple documents at the same time. The algorit...

Document Clustering Using Suffix Tree

Document Clustering Using Topic Analysis