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python Programming Glossary: gramsSimple implementation of N-Gram, tf-idf and Cosine similarity in Python http://stackoverflow.com/questions/2380394/simple-implementation-of-n-gram-tf-idf-and-cosine-similarity-in-python has to be very simple. Implementing a vanilla version of n grams where it possible to define how many grams to use along with.. version of n grams where it possible to define how many grams to use along with a simple implementation of tf idf and Cosine.. u v math.sqrt numpy.dot u u math.sqrt numpy.dot v v For ngrams def ngrams sequence n pad_left False pad_right False pad_symbol..
tag generation from a text content http://stackoverflow.com/questions/2661778/tag-generation-from-a-text-content nltk.corpus.genesis.words 'english web.txt' # only bigrams that appear 3 times finder.apply_freq_filter 3 # return the.. appear 3 times finder.apply_freq_filter 3 # return the 5 n grams with the highest PMI finder.nbest bigram_measures.pmi 5 share..
What are some good ways of estimating 'approximate' semantic similarity between sentences? http://stackoverflow.com/questions/6593030/what-are-some-good-ways-of-estimating-approximate-semantic-similarity-between should contain is still an open question for me. Is it n grams or something from the wordnet or just the individual stemmed..
http://stackoverflow.com/questions/7591258/fast-n-gram-calculation n gram calculation I'm using NLTK to search for n grams in a corpus but it's taking a very long time in some cases... a very long time in some cases. I've noticed calculating n grams isn't an uncommon feature in other packages apparently Haystack.. this mean there's a potentially faster way of finding n grams in my corpus if I abandon NLTK If so what can I use to speed..
Some NLP stuff to do with grammar, tagging, stemming, and word sense disambiguation in Python http://stackoverflow.com/questions/8541447/some-nlp-stuff-to-do-with-grammar-tagging-stemming-and-word-sense-disambiguat especially for windows up to 5 words. The problem with n grams is that they don't model long distance dependencies more than..
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