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  1. IEEE Workshop on Mining Unstructured Data (MUD).
  2. 2014 IEEE 4th Workshop on Mining Unstructured Data
  3. Tutorial 2: Latent Dirichlet Allocation (LDA) by Abram Hindle
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2015 IEEE 5th Workshop on Mining Unstructured Data (MUD)
2014 IEEE 4th Workshop on Mining Unstructured Data
Cover Art
Title Page i
Title Page iii
Copyright Page
Table of contents
Message from the Workshop Co-Chairs
Workshop Organizers and Steering Committee
Keynote: Lessons and Insights from Tech Transfers at Microsoft by Christian Bird
Tutorial 1: Mining Unstructured Data from Code Reviews: A Hands-On Tutorial by Nicolas Bettenburg
Tutorial 2: Latent Dirichlet Allocation (LDA) by Abram Hindle
An Exploratory Study on Software Microblogger Behaviors
Modeling Changeset Topics
Mining Peer Code Review System for Computing Effort and Contribution Metrics for Patch Reviewers
Combining Text Mining and Visualization Techniques to Study Teams' Behavioral Processes
Author Index
Publisher's Information

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Tutorial 2: Latent Dirichlet Allocation (LDA) by Abram Hindle

Content Provider IEEE Xplore Digital Library
Copyright Year 2014
File Size 28608
File Format PDF
ISBN 9781479967933
DOI 10.1109/MUD.2014.15
Language English
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date 2014-09-30
Publisher Place Canada
Access Restriction Subscribed
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Content Type Text
Resource Type Synopsis
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