A scalable system (using multiprocessing in Python) to find similarity between thousands of documents using difflib Sequence Matcher/ Levenstein Distance /cosine similarity/ word embeddings generated by word2vec
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A scalable system (using multiprocessing in Python) to find similarity between thousands of documents using difflib Sequence Matcher/ Levenstein Distance /cosine similarity/ word embeddings generated by word2vec
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analyticsbot/document-similarity
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A scalable system (using multiprocessing in Python) to find similarity between thousands of documents using difflib Sequence Matcher/ Levenstein Distance /cosine similarity/ word embeddings generated by word2vec
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