def __init__(self, output=None, corpus=None,
attribute="categories",
categories=None, mode="combined"):
"""
Create a CategoryToCorpus module, which loads a corpus with tagged
documents.
If corpus is passed in, it adds to an existing corpus.
mode is the corpus loading method to use. If set to "combined", all
documents in a category are concatenated to a single document.
Otherwise each document is loaded separately.
"""
self.output = output
self.corpora = {}
# combined mode has a single corpus
if corpus == None:
self.corpus = Corpus()
else:
self.corpus = corpus
self.module_type = enumModuleType(enumModuleType.Document)
self.module_processing_type = \
enumModuleProcessingType(enumModuleProcessingType.PostProcess)
self.attribute = attribute
self.categories = categories
self.mode = mode
self.pp = pprint.PrettyPrinter(indent=4)
def __init__(self, output=None, corpus=None):
self.output = output
self.corpus = Corpus() if (corpus == None) else corpus
self.module_type = enumModuleType(enumModuleType.Document)
self.module_processing_type = \
enumModuleProcessingType(enumModuleProcessingType.PostProcess)
def __init__(self, output=None):
self.output = output
self.cooccur_graph = Graph()
self.module_type = enumModuleType(enumModuleType.Document)
self.module_processing_type = \
enumModuleProcessingType(enumModuleProcessingType.PostProcess)
def __init__(self):
self.module_type = enumModuleType(enumModuleType.Document)
self.module_processing_type = \
enumModuleProcessingType(enumModuleProcessingType.PostProcess)
self.index = {}