By Jacob Perkins
This e-book is meant for Python programmers attracted to studying the right way to do traditional language processing. possibly you’ve realized the bounds of standard expressions the difficult manner, or you’ve learned that human language can't be deterministically parsed like a working laptop or computer language. probably you may have extra textual content than you recognize what to do with, and want computerized how one can study and constitution that textual content. This Cookbook will enable you educate and use statistical language types to method textual content in ways in which are essentially most unlikely with general programming instruments. A easy wisdom of Python and the elemental textual content processing recommendations is anticipated. a few event with average expressions may also be invaluable.
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Additional info for Python 3 Text Processing with NLTK 3 Cookbook
30 Chapter 2 All the stemmers covered next inherit from the StemmerI interface, which defines the stem() method. The following is an inheritance diagram that explains this: Stemmerl stem() PorterStemmer RegexpStemmer LancasterStemmer SnowballStemmer The LancasterStemmer class The functions of the LancasterStemmer class are just like the functions of the PorterStemmer class, but can produce slightly different results. stem('cookery') 'cookery' The RegexpStemmer class You can also construct your own stemmer using the RegexpStemmer class.
Org/data. We'll assume that the data is installed to C:\nltk_data on Windows, and /usr/share/nltk_data on Linux, Unix, and Mac OS X. How to do it... path. Our custom corpora must be within one of these paths so it can be found by NLTK. In order to avoid conflict with the official data package, we'll create a custom nltk_data directory in our home directory. exists(path): ... path, is True, then you should now have a nltk_data directory in your home directory. The path should be %UserProfile%\nltk_data on Windows, or ~/nltk_data on Unix, Linux, and Mac OS X.
Yaml, then we would not need to specify the format. load() can be absolute or relative paths. path. find(path), which searches all known paths combined with the relative path. Absolute paths do not require a search, and are used as is. When using relative paths, be sure to use choose unambiguous names for your files so as not to conflict with any existing NLTK data. 51 Creating Custom Corpora There's more... load, as that will be handled by the CorpusReader classes covered in the following recipes.
Python 3 Text Processing with NLTK 3 Cookbook by Jacob Perkins