Comparing Latent Dirichlet Allocation and Latent Semantic Analysis as Classifiers
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...
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Language: | English |
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University of North Texas
2011
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Online Access: | https://digital.library.unt.edu/ark:/67531/metadc103284/ |