In this research, the development of a `concept-clumping algorithm\u27 designed to improve the clustering of technical concepts is demonstrated . The algorithm developed first identifies a list of technically relevant noun phrases from a cleaned extracted list and then applies a rule-based algorithm for identifying synonymous terms based on shared words in each term. An assessment of the algorithm found that the algorithm has an 89—91% precision rate, was successful in moving technically important terms higher in the term frequency list, and improved the technical specificity of term clusters
Abstract: Most of the common techniques of text mining are based on the statistical analysis of the ...
International audienceWe consider a challenging clustering task: the clustering of multi-word terms ...
With the rapid development of information technology, individuals using the technology are liable to...
In this research, the development of a `concept-clumping algorithm\u27 designed to improve the clust...
In this research, the development of a ‘concept-clumping algorithm ’ designed to improve the cluster...
Tech Mining seeks to extract intelligence from Science, Technology & Innovation information record s...
International audienceWe present a system for mapping the structure of research topics in a corpus. ...
Most of text mining techniques are based on word and/or phrase analysis of the text. The statistical...
International audienceWe propose a graph decomposition algorithm for analyzing the structure of comp...
International audienceThis paper examines further a research hypothesis that syntactic variations ar...
We consider a challenging clustering task: the clustering of muti-word terms without document co-occ...
The hybrid clustering approach combining lexical and link-based similarities suffered for a long tim...
Discovering synonyms and other related words among the words in a document collection can be seen as...
We consider a challenging clustering task: the clustering of muti-word terms without document co-occ...
Abstract: Most of the common techniques of text mining are based on the statistical analysis of the ...
International audienceWe consider a challenging clustering task: the clustering of multi-word terms ...
With the rapid development of information technology, individuals using the technology are liable to...
In this research, the development of a `concept-clumping algorithm\u27 designed to improve the clust...
In this research, the development of a ‘concept-clumping algorithm ’ designed to improve the cluster...
Tech Mining seeks to extract intelligence from Science, Technology & Innovation information record s...
International audienceWe present a system for mapping the structure of research topics in a corpus. ...
Most of text mining techniques are based on word and/or phrase analysis of the text. The statistical...
International audienceWe propose a graph decomposition algorithm for analyzing the structure of comp...
International audienceThis paper examines further a research hypothesis that syntactic variations ar...
We consider a challenging clustering task: the clustering of muti-word terms without document co-occ...
The hybrid clustering approach combining lexical and link-based similarities suffered for a long tim...
Discovering synonyms and other related words among the words in a document collection can be seen as...
We consider a challenging clustering task: the clustering of muti-word terms without document co-occ...
Abstract: Most of the common techniques of text mining are based on the statistical analysis of the ...
International audienceWe consider a challenging clustering task: the clustering of multi-word terms ...
With the rapid development of information technology, individuals using the technology are liable to...