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

International Conference on Informatics, Engineering, Science and Technology

计算机科学;工业技术

Widiastuti, N.I.^1

Informatics Engineering Department, Universitas Komputer Indonesia, Jl. Dipatiukur 112-116, Bandung, Indonesia^1

关键词: Input datas;    Input features;    Learning methods;    Literature reviews;    Scientific articles;    Text mining;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/407/1/012114/pdf
DOI  :  10.1088/1757-899X/407/1/012114

来源: IOP

【 摘 要 】

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.