Automated topic naming
Abstract
Software repositories provide a deluge of software artifacts to analyze. Researchers have attempted to summarize, categorize, and relate these artifacts by using semi-unsupervised machine-learning algorithms, such as Latent Dirichlet Allocation (LDA). LDA is used for concept and topic analysis to suggest candidate word-lists or topics that describe and relate software artifacts. However, these word-lists and topics are difficult to interpret in...
Paper Details
Title
Automated topic naming
Published Date
May 3, 2012
Volume
18
Issue
6
Pages
1125 - 1155
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