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
Thematic organization of text is a natural practice of humans and a crucial task for today's vast re...
Discovering synonyms and other related words among the words in a document collection can be seen as...
International audienceWe propose a graph decomposition algorithm for analyzing the structure of comp...
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...
Most of text mining techniques are based on word and/or phrase analysis of the text. The statistical...
Abstract: Most of the common techniques of text mining are based on the statistical analysis of the ...
Abstract- Usually in text mining techniques the basic measures like term frequency of a term (word o...
International audienceWe present a system for mapping the structure of research topics in a corpus. ...
Abstract: As the engineering world are growing fast, the usage of data for the day to day activity o...
With the rapid development of information technology, individuals using the technology are liable to...
In text mining most techniques depends on statistical analysis of terms. Statistical analysis trance...
We consider a challenging clustering task: the clustering of muti-word terms without document co-occ...
We consider a challenging clustering task: the clustering of muti-word terms without document co-occ...
Thematic organization of text is a natural practice of humans and a crucial task for today's vast re...
Discovering synonyms and other related words among the words in a document collection can be seen as...
International audienceWe propose a graph decomposition algorithm for analyzing the structure of comp...
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...
Most of text mining techniques are based on word and/or phrase analysis of the text. The statistical...
Abstract: Most of the common techniques of text mining are based on the statistical analysis of the ...
Abstract- Usually in text mining techniques the basic measures like term frequency of a term (word o...
International audienceWe present a system for mapping the structure of research topics in a corpus. ...
Abstract: As the engineering world are growing fast, the usage of data for the day to day activity o...
With the rapid development of information technology, individuals using the technology are liable to...
In text mining most techniques depends on statistical analysis of terms. Statistical analysis trance...
We consider a challenging clustering task: the clustering of muti-word terms without document co-occ...
We consider a challenging clustering task: the clustering of muti-word terms without document co-occ...
Thematic organization of text is a natural practice of humans and a crucial task for today's vast re...
Discovering synonyms and other related words among the words in a document collection can be seen as...
International audienceWe propose a graph decomposition algorithm for analyzing the structure of comp...