A concept driven document clustering using WordNet

SR Kolhe, SD Sawarkar - 2017 International Conference on …, 2017 - ieeexplore.ieee.org
Recently Information Technology is used extensively for wide range of application for
example solutions enabled through e-commerce to different web based information system …

A survey of document clustering using semantic approach

NY Saiyad, HB Prajapati… - … Conference on Electrical …, 2016 - ieeexplore.ieee.org
Document clustering is the application of cluster analysis to textual documents. It is
commonly used technique in data mining, information retrieval, knowledge discovery from …

A survey on semantic document clustering

MP Naik, HB Prajapati, VK Dabhi - 2015 IEEE international …, 2015 - ieeexplore.ieee.org
Clustering is the process of partitioning a set of data objects into subsets. It is commonly
used technique in data mining, information retrieval, and knowledge discovery for finding …

WordNet and Semantic similarity based approach for document clustering

SS Desai, JA Laxminarayana - 2016 International Conference …, 2016 - ieeexplore.ieee.org
With the ceaseless flourishing of the internet, the number of text documents in electronic
form is increasing exorbitantly. Thus document clustering which organizes such large …

[PDF][PDF] Comparative study of k-means and bisecting k-means techniques in wordnet based document clustering

BSV Krishna, P Satheesh, R Suneel Kumar - International Journal of …, 2012 - Citeseer
Document clustering plays major role in the fast developing information explosion. It is
considered as tool for performing information based operations. Document clustering …

Efficient pre-processing for enhanced semantics based distributed document clustering

S Mahajan, N Shah - 2016 3rd International Conference on …, 2016 - ieeexplore.ieee.org
Document clustering, one of the traditional data mining techniques, is an unsupervised
learning paradigm where clustering methods try to identify inherent groupings of the text …

Analysis of similarity measures with wordnet based text document clustering

N Sandhya, A Govardhan - … of the International Conference on Information …, 2012 - Springer
Abstract Text Document Clustering aids in reorganizing the large collections of documents
into a smaller number of manageable clusters. While several clustering methods and the …

Semantic Document Clustering using K-means algorithm and Ward's Method

NM Salih, K Jacksi - 2020 International Conference on …, 2020 - ieeexplore.ieee.org
Nowadays in the age of technology, textual documents are rapidly growing over the internet.
Offline and online documents, websites, e-mails, social network and blog posts, are archived …

[PDF][PDF] Self organizing map-based document clustering using WordNet ontologies

TF Gharib, MM Fouad, A Mashat… - International Journal of …, 2012 - researchgate.net
With the rapid development of web content, retrieving relevant information is difficult task.
The efficient clustering algorithms are needed to improve the results of the retrieval …

[PDF][PDF] Investigating the efficiency of WordNet as background knowledge for document clustering

I AlAgha, R Nafee - JOURNAL OF ENGINEERING, 2015 - researchgate.net
Traditional techniques of document clustering do not consider the semantic relationships
between words when assigning documents to clusters. For instance, if two documents talk …