def preprocess_all(self, raw_files):
'''
Converts the raw files into the documents.
For each document creates tokens and bag of words.
Args:
raw_files: dictionary[document_key] = document_content
'''
logger.info("Preprocessing...")
self.documents = preprocess_all(raw_files)
self.docs_bag = bag_of_documents(self.documents)
def preprocess_all(self, raw_files):
'''
Converts the raw files into the documents.
Procedure:
1. creates documents
2. gets number of documents
3. for each term determine all documents in which
that term exists and how many times it occurs (docs_bag)
Args:
raw_files: dict (key = document key, value = document text)
'''
logger.info("Preprocessing...")
self.documents = preprocess_all(raw_files)
self.docs_no = len(self.documents)
self.docs_bag = bag_of_documents(self.documents)
def preprocess_all(self, raw_files):
'''
Converts the raw files into the documents.
Procedure:
1. creates documents
2. gets number of documents
3. for each term determine all documents in which
that term exists and how many times it occurs (docs_bag)
Args:
raw_files: dict (key = document key, value = document text)
'''
logger.info("Preprocessing...")
self.documents = preprocess_all(raw_files)
self.docs_no = len(self.documents)
self.docs_bag = bag_of_documents(self.documents)
