Text classification is a widely studied topic in the area of machine learning. A number of
techniques have been developed to represent and classify text documents. Most of the …

Majority of the existing text classification algorithms are based on the “bag of words”(BOW)
approach, in which the documents are represented as weighted occurrence frequencies of …

Text classification is a topic in natural language processing that is particularly useful for
Internet information processing. Methods based on supervised learning require a large …

The rapid increase of Internet technology requires a better management of Web page
contents. Many text mining researches has been conducted, like text categorization …

Abstract Wikipedia–the Free Encyclopedia encounters the problem of proper classification of
new articles everyday. The process of assignment of articles to categories is performed …

Automatic classification of news articles is a relevant problem due to the large amount of
news generated every day, so it is crucial that these news are classified to allow for users to …

The exponential growth of text documents available on the Internet has created an urgent
need for accurate, fast, and general purpose text classification algorithms. However, the" …

Document classification presents difficult challenges due to the sparsity and the high
dimensionality of text data, and to the complex semantics of the natural language. The …

One of the current popular methods of generating word representations is an approach
based on the analysis of large document collections with neural networks. It creates so …

Automatic Content-Based Categorization of Wikipedia Articles Page 1 Proceedings of the 2009
Workshop on the People’s Web Meets NLP, ACL-IJCNLP 2009, pages 32–37, Suntec, Singapore …