yangliuy/machine-learning-coursera
Lecture notes and assignments for coursera machine learning class
Discovered public repositories for yangliuy in the GitHub catalog.
Lecture notes and assignments for coursera machine learning class
My solutions to the programming exercises from Stanford's Machine Learning online course
Joint Behavior-Topic Model for Microblogs
Create Debate Data Sets used in NAACL'13 paper “Mining User Relations from Online Discussions using Sentiment Analysis and Probabilistic Matrix Factorization”
Implementation of PLSA model using EM inference algorithm
Java implementation of Gibbs sampling for Topic Expertise Model published in CIKM'13
Latent Dirichlet Allocation (LDA) model for Microblogs (Twitter, weibo etc.)
Code for extraction of opinions, targets and relations from online discussion posts.
Implementations of LDA Variations based on Collapsed Gibbs Sampling.
Implement frequent pattern mining algorithm such as Apriori and FP-Growth.
Implementation of text clustering algorithms including K-means, MBSAS, DBSCAN.
Open Source Package for Gibbs Sampling of LDA
A text classifier based on Decision Trees ID3, Naive Bayes and KNN algorithm in C++ and JAVA.