S. Ponmalar, D. Ponnarasi, A. Sangeetha, R. Kingsy Grace, Sri Ramakrishna Engineering College, Coimbatore, Tamilnadu, India.
International Journal of Advanced Information and Communication Technology
Received On : October 09, 2020
Revised On : November 21, 2020
Accepted On : December 10, 2020
Published On : Junuary 05, 2020
Volume 07, Issue 01
Pages : 006-010
Abstract
Text mining is a process of converting unstructured data into meaningful data. It may be loosely characterized as the process of analyzing text to extract information that is useful for particular purposes. Topic modeling is a form of text mining, a way of identifying patterns in a corpus. The topics produced by topic modeling techniques are clusters of similar words that are frequently occur together. Topic modeling is also a frequently used text-mining tool for discovery of hidden semantic structures in a text body. Intuitively, a document is about a particular topic, one would expect particular words to appear in the document more or less frequently. This paper, presents a survey on topic modeling in clinical documents.
Keywords
Topic Modeling; Text Mining; Clinical Documents; Prediction; Data Mining.
Cite this article
S. Ponmalar, D. Ponnarasi, A. Sangeetha, R. Kingsy Grace, “Topic Modeling in Clinical Reports - A Survey,” INTERNATIONAL JOURNAL OF ADVANCED INFORMATION AND COMMUNICATION TECHNOLOGY, pp. 006–010, Jan. 2020.
Copyright
© 2020 S. Ponmalar, D. Ponnarasi, A. Sangeetha, R. Kingsy Grace. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.