… algorithms that deal with text classification. This paper deals with an approach for building a
machine learning … ) method for the classification of textual documents. The experimental part …

… Abstract – This paper presents an algorithm for the automatic grouping of PDF documents,
and with potential application for Web document classification. The algorithm developed is …

… the preprocessing undergone by documents for the purpose of categorization; it describes
… ), the learning algorithm used in this paper for document categorization is presented. Section …

… Other applications of artificial neural network include matching of images [5… classification
of resume documents and identified different machine learning algorithms used for classification…

… , has attracted interest from the Artificial Intelligence (AI) community … document classification
model is first learned from a set of training documents using a machine learning algorithm…

… classify the documents into the proper class [1]. This research deals with the hard categorization
of the text, which means every document … be seen that Artificial Neural Network (ANN) is …

… document classification is the machine learning fundamental that refers to assigning automatic
categories among scanned images of the documents… the area of Artificial Intelligence and …

… document retrieval and classification is of central importance in many contexts; our main
motivating goal is the efficient classification … algorithm with Hadamard frequency tf-idf and binary …

… Bayes algorithms to perform document classification task. We have trained the machine
learning … that learn from past data and is also a field of artificial intelligence [5, 6, 7, 8, 9, 10, 11]. …

… Even for moderate-size text collections one can end up with tens or even hundreds of
thousand terms, a number prohibitively high for some classification algorithms. Then, …