class Document(object):
def __init__(self):
self._words_and_freq = BagOfWords()
#self._vocabulary = BagOfWords()
def read_document(self,filename):
try:
text = open(filename,"r", encoding='utf-8').read()
except UnicodeDecodeError:
text = open(filename,"r", encoding='latin-1').read()
text = text.lower()
words = re.split("[^\wäöüÄÖÜß]*",text) # what re module?
#self._number_of_words = 0
#take word into bag
for word in words:
if word != '':
self._words_and_freq.add_word(word)
def __str__(self):
return str(self._words_and_freq)
def wordAndFreq(self):
return self._words_and_freq.bagofwords()
def __init__(self):
self._words_and_freq = BagOfWords()
class Document(object):
""" Used both for learning (training) documents and for testing documents. The optional parameter lear
has to be set to True, if a classificator should be trained. If it is a test document learn has to be set to False. """
_vocabulary = BagOfWords()
def __init__(self, vocabulary):
self.__name = ""
self.__document_class = None
self._words_and_freq = BagOfWords() #dictionaries of word
Document._vocabulary = vocabulary
def read_document(self,filename, learn=False):
""" A document is read. It is assumed that the document is either encoded in utf-8 or in iso-8859... (latin-1).
The words of the document are stored in a Bag of Words, i.e. self._words_and_freq = BagOfWords() """
try:
text = open(filename,"r", encoding='utf-8').read()
except UnicodeDecodeError:
text = open(filename,"r", encoding='latin-1').read()
text = text.lower()
words = re.split("[^\wäöüÄÖÜß]*",text) # what re module?
self._number_of_words = 0
#take word into bag
for word in words:
self._words_and_freq.add_word(word)
if learn:
Document._vocabulary.add_word(word)
def __add__(self,other):
""" Overloading the "+" operator. Adding two documents consists in adding the BagOfWords of the Documents """
res = Document(Document._vocabulary)
res._words_and_freq = self._words_and_freq + other._words_and_freq # add 2 Bag when learn
return res
def vocabulary_length(self):
""" Returning the length of the vocabulary """
return len(Document._vocabulary)
def WordsAndFreq(self):
""" Returning the dictionary, containing the words (keys) with their frequency (values) as contained
in the BagOfWords attribute of the document"""
return self._words_and_freq.BagOfWords()
def Words(self):
""" Returning the words of the Document object """
d = self._words_and_freq.BagOfWords()
return d.keys()
def WordFreq(self,word):
""" Returning the number of times the word "word" appeared in the document """
bow = self._words_and_freq.BagOfWords()
if word in bow:
return bow[word]
else:
return 0
def __and__(self, other):
""" Intersection of two documents. A list of words occuring in both documents is returned """
intersection = []
words1 = self.Words()
for word in other.Words():
if word in words1:
intersection += [word]
return intersection
def __init__(self, vocabulary):
self.__name = ""
self.__document_class = None
self._words_and_freq = BagOfWords() #dictionaries of word
Document._vocabulary = vocabulary
