Comparing Latent Dirichlet Allocation and Latent Semantic Analysis as Classifiers
Description:
In the Information Age, a proliferation of unstructured text electronic documents exists. Processing these documents by humans is a daunting task as humans have limited cognitive abilities for processing large volumes of documents that can often be extremely lengthy. To address this problem, text data computer algorithms are being developed. Latent Semantic Analysis (LSA) and Latent Dirichlet Allocation (LDA) are two text data computer algorithms that have received much attention individually…
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Date:
December 2011
Creator:
Anaya, Leticia H.
Partner:
UNT Libraries