Machine Learning, NLP, Word Embeddings, Artificial Intelligence, Text Similarity.
embeddings. Every word embedding is weighted by a/(a + p(w)), where a is a parameter that is typically set to 0.001 and p(w) is the estimated frequency of the word in a corpus. from collections import Counter import itertools def map_word_frequency(document): return