I\'m using a python library called Guess Language: http://pypi.python.org/pypi/guess-language/0.1 \"justwords\" is a string with unicode text. I stick it in the package, but it always returns English
I\'m designing architecture of a text parser. Example sentence: Content here, content here. Whole sentence is a... sentence, that\'s obvious. The, quick etc are words; , and. are punctuation marks. B
I\'m writing a text tag parser and I\'m currently using this recursive method to create tags of n words. Is there a way that it can be done non-recursively or at least be optimized? Assume that $this-
I am hand tagging twitter messages as Positive, Negative, Neutral. I am try to appreciate is there some logic one can use to identify of the training set what pro开发者_JS百科portion of message should
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Hellow Stack Overflow people. I\'d like some suggestions regarding the following problem. I am using Java.
How does something lik开发者_开发技巧e Statistically Improbable Phrases work? According to amazon:
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I am currently parsing a bunch of mails and want to get wor开发者_如何学运维ds and other interesting tokens out of mails (even with spelling errors or combination of characters and letters, like \"zeb
I\'m using JAWS to access WordNet. Given a word, is there any way to detect if it is a proper noun? It looks like the synsets have pretty coarse lexical categories.
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