Build similarity network from tagged documents
Project description
Build similarity network from any dataset where a set of keywords or other tags is assigned to each document. The network is build by computing cosine simiarity between each document, based on their tag sets, and thresholding the similarities to produce a network. Includes ability to extract ngrams from blocks of text and use as tags
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