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《Electronic Technology》 2017-07
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Text Representation Model Based on LF-LDA and Word2vec

Chen Lei;LI Jun;Department of Automation, University of Science and Technology of China;  
LDA(Latent Dirichlet Allocation) does not consider word vector in training process while LF-LDA(Latent Feature-LDA) uses Word2 vec to improve the distribution of topics. However, document represented by the distribution of topics, which is not combined with context information of feature words. Thus, we propose LF-LDA combined with Word2 vec, which utilize topic vector generated by LF-LDA and word vector generated by Word2 vec to represent text. In addition, we also propose text representation which adopts topic vector generated by LF-LDA. Experimental result on data set of Stack Overflow show that LF-LDA combined with Word2vec's text representation is superior to LDA combined with Word2vec's text representation and LF-LDA's text representation. Text representation model based on topic vector is superior to LDA model.
【CateGory Index】: TP391.1
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【Citations】
Chinese Journal Full-text Database 1 Hits
1 TANG Ming;ZHU Lei;ZOU Xian-chun;School of Computer and Information Science,Southwest University;;Document Vector Representation Based on Word2Vec[J];计算机科学;2016-06
【Co-citations】
Chinese Journal Full-text Database 6 Hits
1 CHEN Jie;CHEN Cai;LIANG Yi;Faculty of Information Technology, Beijing University of Technology;;Document Classification Method Based on Word2vec[J];计算机系统应用;2017-11
2 Gao Yongbing;Yang Guipeng;Zhang Di;Ma Zhanfei;School of Information Engineering, Inner Mongolia University of Science and Technology;Department of Computer, Baotou Teachers' College;;Detecting Events from Official Weibo Profiles Based on Post Clustering with Burst Words[J];数据分析与知识发现;2017-09
3 GAO Yong-bing;YANG Gui-peng;ZHANG Di;Information Engineering School,Inner Mongolia University of Science and Technology;;Keywords extraction and event summarization technology research on official microblog[J];内蒙古科技大学学报;2017-03
4 ;Anti-terrorism Intelligence Mining Based on Deep Learning and Open Source Information[J];情报理论与实践;2017-09
5 Chen Lei;LI Jun;Department of Automation, University of Science and Technology of China;;Text Representation Model Based on LF-LDA and Word2vec[J];电子技术;2017-07
6 ;Research of Text Classification Model Based on Word Vector Characteristics[J];信息技术与标准化;2017-05
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