This site uses cookies. By continuing to use this site you agree to our use of cookies. To find out more, see our Privacy and Cookies policy.
Paper The following article is Open access

Deep Learning – Now and Next in Text Mining and Natural Language Processing

Published under licence by IOP Publishing Ltd
, , Citation N I Widiastuti 2018 IOP Conf. Ser.: Mater. Sci. Eng. 407 012114 DOI 10.1088/1757-899X/407/1/012114

1757-899X/407/1/012114

Abstract

This study was conducted to find out what has not been discussed in last research in domain text mining and NLP using Deep Learning. In this literature review has covered more than 50 articles that can be accessed from a various portal of scientific articles. The focuses are conducted on important elements of a network and what influences them. The results of this study indicate that currently, more research discusses how data is presented. This is due to the assumption that input data is very important in performance of an algorithm. modification of network architecture and a combination of techniques are also attracted researchers. The next studies are many research points that can be done in text mining and NLP using Deep Learning. Especially on input features, learning methods, and the others issues in the domain of Text mining and NLP.

Export citation and abstract BibTeX RIS

Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.

Please wait… references are loading.