To perform document classification algorithmically, documents need to be represented such
that it is understandable to the machine learning classifier. The report discusses the different …

Document classification is a growing interest in the research of text mining. Correctly
identifying the documents into particular category is still presenting challenge because of …

This paper deals with one class automatic document classification. Five feature selection
methods and three classifiers are evaluated on a Czech corpus in order to build an efficient …

In this contemporaneous world, it is an obligation for any organization working with
documents to end up with the insipid task of classifying truckload of documents, which is the …

With the fast increase of the documents, using Text Document Classificafion (TDC) methods
has become a crucial matter. This paper presented a hybrid model of Invasive Weed …

Document classification has already been widely studied. In fact, some studies compared
feature selection techniques or feature space transformation whereas some others …

In this paper we perform a comparative analysis of three models for a feature representation
of text documents in the context of document classification. In particular, we consider the …

In digitalizing the data, Document classification needs to perform for effective huge data
organization that saves a lot of user time and helps in analyzing customer feedback …

Text classification is used to classify the document of similar types. Text classification can be
also performed under supervision ie it is an supervised leaning technique Text classification …

Document classification has already been widely studied. In fact, some studies compared
feature selection techniques or feature space transformation whereas some others …