[PDF][PDF] KNN based machine learning approach for text and document mining

V Bijalwan, V Kumar, P Kumari… - International Journal of …, 2014 - researchgate.net
Text Categorization (TC), also known as Text Classification, is the task of automatically
classifying a set of text documents into different categories from a predefined set. If a …

An effective refinement strategy for KNN text classifier

S Tan - Expert Systems with Applications, 2006 - Elsevier
Due to the exponential growth of documents on the Internet and the emergent need to
organize them, the automated categorization of documents into predefined labels has …

[HTML][HTML] A comparative analysis of logistic regression, random forest and KNN models for the text classification

K Shah, H Patel, D Sanghvi, M Shah - Augmented Human Research, 2020 - Springer
In the current generation, a huge amount of textual documents are generated and there is an
urgent need to organize them in a proper structure so that classification can be performed …

[PDF][PDF] A comparative study on different types of approaches to text categorization

PY Pawar, SH Gawande - International Journal of Machine Learning and …, 2012 - ijmlc.org
Text Categorization is a pattern classification task for text mining and necessary for efficient
management of textual information systems. The documents can be classified by three ways …

A Review on Comparison of Machine Learning Algorithms for Text Classification

M Dhingra, D Dhabliya, MK Dubey… - … and Informatics (IC3I …, 2022 - ieeexplore.ieee.org
The majority of the data is preserved as text (about 75%), hence It is believed that text
mining has a significant commercial potential. Unstructured texts continue to be the most …

[PDF][PDF] Text classification using machine learning techniques.

M Ikonomakis, S Kotsiantis, V Tampakas - WSEAS transactions on …, 2005 - Citeseer
Automated text classification has been considered as a vital method to manage and process
a vast amount of documents in digital forms that are widespread and continuously …

[PDF][PDF] A review of machine learning algorithms for text-documents classification

A Khan, B Baharudin, LH Lee, K Khan - Journal of advances in …, 2010 - academia.edu
With the increasing availability of electronic documents and the rapid growth of the World
Wide Web, the task of automatic categorization of documents became the key method for …

Classifying text documents by associating terms with text categories

OR Zaiane, ML Antonie - Proceedings of the 13th Australasian database …, 2002 - dl.acm.org
Automatic text categorization has always been an important application and research topic
since the inception of digital documents. Today, text categorization is a necessity due to the …

TTC-3600: A new benchmark dataset for Turkish text categorization

D Kılınç, A Özçift, F Bozyigit, P Yıldırım… - Journal of …, 2017 - journals.sagepub.com
Owing to the rapid growth of the World Wide Web, the number of documents that can be
accessed via the Internet explosively increases with each passing day. Considering news …

A new text categorization technique using distributional clustering and learning logic

H Al-Mubaid, SA Umair - IEEE Transactions on Knowledge and …, 2006 - ieeexplore.ieee.org
Text categorization is continuing to be one of the most researched NLP problems due to the
ever-increasing amounts of electronic documents and digital libraries. In this paper, we …