内蒙古民族大学学报（自然科学版）2016，Vol.31Issue(5)：403-407,5.DOI:10.14045/j.cnki.15-1220.2016.05.011
基于深度学习的文本挖掘研究
Text Mining Based on In-Depth Learning
摘要
Abstract
With the rapid development of the Internet and increasing of online text information, text mining technolo-gy is becoming indispensable to extracting useful information from large databases. The importance and the research of text mining based on in-depth learning are reviewed in this paper. The process and application field of text mining are first introduced and the limitations of neural networks are analyzed to stress the necessity of text mining. Finally the characteristics of shallow learning and deep learning are illustrated and the latest research achievements of in-depth learning and its application in text mining are reviewed.关键词
深度学习/文本挖掘/特征融合Key words
In-Depth learning/Text mining/Feature fusion分类
信息技术与安全科学引用本文复制引用
崔嘉乐,姜明洋,裴志利,卢奕南..基于深度学习的文本挖掘研究[J].内蒙古民族大学学报（自然科学版）,2016,31(5):403-407,5.基金项目
国家自然科学基金资助项目（61163034，613730067）；内蒙古自治区2013年度“草原英才工程”项目；自治区“高等学校青年科技领军人才”项目（NJYF-14-A09）；内蒙古自然科学基金（2013MS0911）；吉林省科技发展项目（20140101195JC）；内蒙古自治区高等学校科学技术研究项目 （）
