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Search found 28 results on 2 pages for 'nltk'.

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• Discrete and Continuous Classifier on Sparse Data

  - by Chris S

  I'm trying to classify an example, which contains discrete and continuous features. Also, the example represents sparse data, so even though the system may have been trained on 100 features, the example may only have 12. What would be the best classifier algorithm to use to accomplish this? I've been looking at Bayes, Maxent, Decision Tree, and KNN, but I'm not sure any fit the bill exactly. The biggest sticking point I've found is that most implementations don't support sparse data sets and both discrete and continuous features. Can anyone recommend an algorithm and implementation (preferably in Python) that fits these criteria? Libraries I've looked at so far include: Orange (Mostly academic. Implementations not terribly efficient or practical.) NLTK (Also academic, although has a good Maxent implementation, but doesn't handle continuous features.) Weka (Still researching this. Seems to support a broad range of algorithms, but has poor documentation, so it's unclear what each implementation supports.)

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• Key word extraction in Python

  - by oliland

  I'm building a website in django that needs to extract key words from short (twitter-like) messages. I've looked at packages like topia.textextract and nltk - but both seem to be overkill for what I need to do. All I need to do is filter words like "and", "or", "not" while keeping nouns and verbs that aren't conjunctives or other parts of speech. Are there any "simpler" packages out there that can do this? EDIT: This needs to be done in near real-time on a production website, so using a keyword extraction service seems out of the question, based on their response times and request throttling.

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• python writing a list to a file

  - by gfar90

  I need to write a list to a file in python. I know the list should be converted to a string with the join method, but since I have a tuple I got confused. I tried a lot to change my variables to strings etc, this is one of my first attempts: def perform(text): repository = [("","")] fdist = nltk.FreqDist(some_variable) for c in some_variable: repository.append((c, fdist[c])) return ' '.join(repository) but it gives me the following error: Traceback (most recent call last): File "", line 1, in qe = perform(entfile2) File "", line 14, in perform return ' '.join(repository) TypeError: sequence item 0: expected string, tuple found any ideas how to write the list 'repository' to a file? Thanks!

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