Document Classification is one of the most important topic in Computer Science as the
number of electronic documents are increasingly very rapidly each day. Document …

Evaluating Preprocessing Techniques in Text Categorization Page 1 International Journal of
Computer Science and Application Issue 2010 ISSN 0974-0767 49 Evaluating Preprocessing …

This work deals with document classification. It is a supervised learning method (it needs a
labeled document set for training and a test set of documents to be classified). The …

Text classification (TC) is an approach used for the classification of any kind of documents
for the target category or out. In this paper, we implemented the Support Vector Machines …

Text classification is one of the important research issues in the field of text mining, where
the documents are classified with supervised knowledge. In literature we can find many text …

In this study, Turkish texts belonging to different categories were classified by using
word2vec word vectors. Firstly, vectors of the words in all the texts were extracted then, each …

Automatic text classification based on vector space model (VSM), artificial neural networks
(ANN), K-nearest neighbor (KNN), Naives Bayes (NB) and support vector machine (SVM) …

The automated categorization of text documents into predetermined categories has
witnessed a growing in the last few years, due to the huge availability of documents in digital …

Text classification is used to classify documents on the basis of their content. The documents
are assigned to one or more categories manually or with the help of classifying algorithms …

This research proposes a new neural network for text categorization which uses alternative
representations of documents to numerical vectors. Since the proposed neural network is …