Understanding Semantic Analysis Using Python - NLP Towards AI
Deep neural network essentially builds a graphical model of the word-count vectors obtained from a large set of documents. Documents similar to a query document can then be found by simply accessing all the addresses that differ by only a few bits from the address of the query document. This way of extending the efficiency of hash-coding to approximate matching is much faster than locality sensitive hashing, which is the fastest current method. An information retrieval technique using latent semantic structure was patented in by Scott Deerwester, Susan Dumais, George Furnas, Richard...
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