Text mining and semantics: a systematic mapping study
As text semantics has an important role in text meaning, the term semantics has been seen
in a vast sort of text mining studies. However, there is a lack of studies that integrate the …
in a vast sort of text mining studies. However, there is a lack of studies that integrate the …
Survey and gap analysis of word sense disambiguation approaches on unstructured texts
K Bhattacharjee, S ShivaKarthik… - … on Electronics and …, 2020 - ieeexplore.ieee.org
Word Sense Disambiguation (WSD) is considered as one of the pivotal problems of
Semantic classification among polysemous words that can be addressed using Natural …
Semantic classification among polysemous words that can be addressed using Natural …
Using semantic relatedness measures with dynamic self-organizing maps for improved text clustering
N Nathawitharana, D Alahakoon… - 2016 International Joint …, 2016 - ieeexplore.ieee.org
Growing volumes of text and increasing expectations on the complexity of analysis entail
advanced approaches to text mining. Unsupervised text clustering is an efficient approach to …
advanced approaches to text mining. Unsupervised text clustering is an efficient approach to …
Semantic integrated document clustering for improved text mining
MN Nathawitharana - 2018 - opal.latrobe.edu.au
Submission note: A thesis submitted in total fulfilment of the requirements for the degree of
Doctor of Philosophy to the Department of Accounting and Data Analytics, La Trobe …
Doctor of Philosophy to the Department of Accounting and Data Analytics, La Trobe …