… of text categorization, the approaches to the task, and the schemes of implementing and
evaluating the text categorization … 1.4, we cover other types of data mining than text mining, in …

… used for data mining (classification, clustering), information retrieval and other non-commercial
activities. The news topic classification data set of … neural networks for text classification. It …

… In this paper, we have proposed a document classifier using neural network approach. It is
… of text document classification. The neural network approach is a supervised classification …

… to solve data mining problems. WEKA has become one of the most widely used data mining
systems … WEKA supports many different data mining tasks such as data pre-processing and …

… First, we propose two new large corpora for Arabic text categorization collected from …
classification tasks. The second corpus, NADiA, is offered for multi-label Arabic text classification. To …

… Here, we talk about text data mining, various techniques of text data mining and also
application of text data mining. Text data mining is used for obtaining stimulating and fascinating …

… Text mining and data mining are similar, except data mining works on structured … Document
categorization is largely used in libraries [2]. Document classification or text categorization …

… the text classification performance. This paper surveys of text classification, process of
different term weighing methods and comparison between different classification techniques. …

… that text classi cation techniques can indeed be used to provide valuable assistive technology
base as support for law professionals in obtaining guidance and orientation from large …