S Tan - Expert Systems with Applications, 2006 - Elsevier
Due to the exponential growth of documents on the Internet and the emergent need to organize them, the automated categorization of documents into predefined labels has …
K Shah, H Patel, D Sanghvi, M Shah - Augmented Human Research, 2020 - Springer
In the current generation, a huge amount of textual documents are generated and there is an urgent need to organize them in a proper structure so that classification can be performed …
PY Pawar, SH Gawande - International Journal of Machine Learning and …, 2012 - ijmlc.org
Text Categorization is a pattern classification task for text mining and necessary for efficient management of textual information systems. The documents can be classified by three ways …
The majority of the data is preserved as text (about 75%), hence It is believed that text mining has a significant commercial potential. Unstructured texts continue to be the most …
Automated text classification has been considered as a vital method to manage and process a vast amount of documents in digital forms that are widespread and continuously …
With the increasing availability of electronic documents and the rapid growth of the World Wide Web, the task of automatic categorization of documents became the key method for …
OR Zaiane, ML Antonie - Proceedings of the 13th Australasian database …, 2002 - dl.acm.org
Automatic text categorization has always been an important application and research topic since the inception of digital documents. Today, text categorization is a necessity due to the …
Owing to the rapid growth of the World Wide Web, the number of documents that can be accessed via the Internet explosively increases with each passing day. Considering news …
H Al-Mubaid, SA Umair - IEEE Transactions on Knowledge and …, 2006 - ieeexplore.ieee.org
Text categorization is continuing to be one of the most researched NLP problems due to the ever-increasing amounts of electronic documents and digital libraries. In this paper, we …