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For example I would like to do some NLP text treatment : extract some keywords, and find correlation between them (with previous lemma-POS segmentation). The Pipeline would be : 

    count all (lemmatised) words,  
    make a stopwords list,  
    use a RAKE-like algorithm to extract keyword list,  
    make some frequency-correlation matrix  the kw list content and/or the POS/lemma words...

For example in pseudo-python : 

def count_words(infile,open_and_read) :  
    dic = {}  
    f = open_and_read(infile)  
    for word in f:   
      if word not in dic:   
           dic[word] = 1  
       else dic[word] +=1  
    return dic

etc etc

How do you transform this kind of pipeline in continuous programming ?

Leon-Paul Schaub
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    I don't think it's used much, but in a theoretical sense you can see if [this](https://www.ps.uni-saarland.de/~duchier/python/continuations.html) helps. – Stuti Rastogi May 09 '17 at 12:40
  • It's unclear what you're asking – how about you help describe the problem you're trying to solve and worry less about what the code might look like? I'm certain you'll get better help with a better question ^_^ – Mulan May 14 '17 at 00:34

0 Answers0