Text classification using artificial intelligence
SM Kamruzzaman - arXiv preprint arXiv:1009.4964, 2010 - arxiv.org
Text classification is the process of classifying documents into predefined categories based
on their content. It is the automated assignment of natural language texts to predefined …
on their content. It is the automated assignment of natural language texts to predefined …
Text classification using data mining
SM Kamruzzaman, F Haider, AR Hasan - arXiv preprint arXiv:1009.4987, 2010 - arxiv.org
Text classification is the process of classifying documents into predefined categories based
on their content. It is the automated assignment of natural language texts to predefined …
on their content. It is the automated assignment of natural language texts to predefined …
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 …
on their content. Existing supervised learning algorithms to automatically classify text need …
Text classification using association rule with a hybrid concept of naive Bayes classifier and genetic algorithm
SM Kamruzzaman, F Haider, AR Hasan - arXiv preprint arXiv:1009.4976, 2010 - arxiv.org
Text classification is the automated assignment of natural language texts to predefined
categories based on their content. Text classification is the primary requirement of text …
categories based on their content. Text classification is the primary requirement of text …
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 …
and management of text is increasing. Text is cheap, but information, in the form of knowing …
[PDF][PDF] Text classification using machine learning techniques.
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 …
a vast amount of documents in digital forms that are widespread and continuously …
Proposing a method to classify texts using data mining
Today a significant part of available data is saved in text database or text documents. The
most important thing is to organize these documents. One way to organize text documents is …
most important thing is to organize these documents. One way to organize text documents is …
A Review on Comparison of Machine Learning Algorithms for Text Classification
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 …
mining has a significant commercial potential. Unstructured texts continue to be the most …
Text classification using the concept of association rule of data mining
As the amount of online text increases, the demand for text classification to aid the analysis
and management of text is increasing. Text is cheap, but information, in the form of knowing …
and management of text is increasing. Text is cheap, but information, in the form of knowing …
[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 …
days. Proper classification of text documents requires information retrieval, machine learning …