Text Mining NLP ML (Hierarchical)Topic Modeling Yueshen Xu (lecturer) ysxu@xidian.edu.cn xuyueshen@163.com Data and Knowledge Engineering Research Center Xidian University
(Hierarchical) Topic Modeling Yueshen Xu (lecturer) ysxu@xidian.edu.cn / xuyueshen@163.com Data and Knowledge Engineering Research Center Xidian University Text Mining & NLP & ML
Outline 历些毛子代拔大》 XIDIAN UNIVERSITY ▣Background ▣Some Concepts ▣Topic Modeling Probabilistic Latent Semantic Indexing (PLSI) Latent Dirichlet Allocation(LDA) Hierarchical Topic Modeling Basics,not Chinese Restaurant Process(CRP) state-of-the-art ▣Vhat I do Supplement Reference Keywords:topic modeling,hierarchical topic modeling,probabilistic graphical model,Bayesian model 2016/12/29 Software Engineering
2016/12/29 Software Engineering Outline Background Some Concepts Topic Modeling Probabilistic Latent Semantic Indexing (PLSI) Latent Dirichlet Allocation (LDA) Hierarchical Topic Modeling Chinese Restaurant Process (CRP) What I do Supplement & Reference 2 Keywords: topic modeling, hierarchical topic modeling, probabilistic graphical model, Bayesian model Basics, not state-of-the-art
Background 历忠毛子代枚大兽 XIDIAN UNIVERSITY Information Overloading Big Data Cloud Com uting Chinese International Travel Monitor 2015 at a giance Hoteis.com Artificiatelligence Deep Kearnig 旦》只器 号2 we need 0> summarization 目强>帼器 cn Visualization 是%>2 6 ★意三 Dimensional Reduction 2016/12/29 Software Engineering
2016/12/29 Software Engineering Background Information Overloading 3 we need summarization Visualization Dimensional Reduction Big Data Cloud Computing Artificial Intelligence Deep Learning ,…, etc
Background 历忠荒子代枝大学 XIDIAN UNIVERSITY ▣Text Summarization Document Summarization What do these docs (or this doc)talk about? Laptop Reviews Review Summarization What do these consumers care about or complain about? Short Text/Tweets Summarization narents didn't come to America all What are people discussing about? .ring nod-comp ▣Basic Requirement 动时A亲贵去门自 Automatic Applicable Explainable Topic Modeling 2016/12/29 Software Engineering
2016/12/29 Software Engineering Background Text Summarization Document Summarization What do these docs (or this doc) talk about? Review Summarization What do these consumers care about or complain about? Short Text/Tweets Summarization What are people discussing about? 4 Automatic Applicable Explainable Basic Requirement Topic Modeling
Some Concepts 历些毛子种枝大” XIDIAN UNIVERSITY Information Retrieva ▣General Concepts Dimension Latent Semantic Analysis Machine ■Text Mining Learning Topic Reduction Modeling Natural Language Processing LSA Computational Linguistics Text Mining Information Retrieval Machine Natual Lauguage Processing ■Dimension Reduction Translation Computational Linguistics ■Topic Modeling Data Mining to learn the latent topics from a corpus/document 2016/1229 Software Engineering
2016/12/29 Software Engineering General Concepts Latent Semantic Analysis Text Mining Natural Language Processing Computational Linguistics Information Retrieval Dimension Reduction Topic Modeling Some Concepts 5 Information Retrieval Computational Linguistics Natural Language Processing LSA/Topic Model Text Mining LSA Data Mining Reduction Dimension Machine Learning Machine Translation Topic Modeling to learn the latent topics from a corpus/document