PDF State of Art for Semantic Analysis of Natural Language Processing Karwan Jacksi
A drawback to computing semantic analysis nlps in this way, when adding new searchable documents, is that terms that were not known during the SVD phase for the original index are ignored. These terms will have no impact on the global weights and learned correlations derived from the original collection of text. However, the computed vectors for the new text are still very relevant for similarity comparisons with all other document vectors. In semantic hashing documents are mapped to memory addresses by means of a neural network in such a way that semantically similar documents are located...
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