[PDF][PDF] Machine Learning for Text Document Classification-Efficient Classification Approach

SIM Ali, M Nihad, HM Sharaf… - … International Journal of …, 2024 - pdfs.semanticscholar.org
Numerous alternative methods for text classification have been created because of the
increase in the amount of online text information available. The cosine similarity classifier is …

[PDF][PDF] Comparative study of classification algorithm for text based categorization

O Ardhapure, G Patil, D Udani, K Jetha - Int. J. Res. Eng. Technol, 2016 - academia.edu
Text categorization is a process in data mining which assigns predefined categories to free-
text documents using machine learning techniques. Any document in the form of text, image …

Classification of Persian News Articles using Machine Learning Techniques

S Mostafavi, B Pahlevanzadeh… - Computer and …, 2021 - cke.um.ac.ir
Automatic text classification, which is defined as the process of automatically classifying
texts into predefined categories, has many applications in our everyday life and it has …

[PDF][PDF] An efficient text classification using knn and naive bayesian

J Sreemathy, PS Balamurugan - International Journal on …, 2012 - researchgate.net
The main objective is to propose a text classification based on the features selection and
preprocessing thereby reducing the dimensionality of the Feature vector and increase the …

A hybrid learning algorithm for text classification

SM Kamruzzaman, F Haider - arXiv preprint arXiv:1009.4574, 2010 - arxiv.org
Text classification is the process of classifying documents into predefined categories based
on their content. Existing supervised learning algorithms to automatically classify text need …

[PDF][PDF] Automated text categorization with machine learning and its application in multilingual text categorization

BP Prajapati, S Garg, MH Panchal - National Conference on …, 2009 - academia.edu
The automated categorization (or classification) of texts into predefined categories is one of
the booming field of text mining. Now a days availability of digital data is very high, and to …

Text categorization using association rule and naive Bayes classifier

SM Kamruzzaman, CM Rahman - arXiv preprint arXiv:1009.4994, 2010 - arxiv.org
As the amount of online text increases, the demand for text categorization to aid the analysis
and management of text is increasing. Text is cheap, but information, in the form of knowing …

[PDF][PDF] Automated Arabic Text Categorization Using SVM and NB.

S Alsaleem - Int. Arab. J. e Technol., 2011 - m.marefa.org
Text classification is a supervised learning technique that uses labeled training data to
derive a classification system (classifier) and then automatically classifies unlabelled text …

[PDF][PDF] A Frequency Based Approach to Multi-Class Text Classification

A Sarkar, D Datta - International Journal of Information Technology …, 2017 - mecs-press.net
Text classification is a method which involves managing and processing important
information that can be categorized into predefined classes within a collection of text data …

[PDF][PDF] Empirical studies on machine learning based text classification algorithms

SC Dharmadhikari, M Ingle, P Kulkarni - Advanced Computing, 2011 - academia.edu
Automatic classification of text documents has become an important research issue now
days. Proper classification of text documents requires information retrieval, machine learning …