def Save(self):
try:
# SaveLoad.SaveByte(self.lemma, self.lemmaFilename)
# SaveLoad.SaveByte(self.radiciList, self.radiciListFilename)
#
# SaveLoad.SaveByte(self.lemmaRadice, self.lemmaRadiceFilename)
# SaveLoad.SaveByte(self.lemmaSuffisso, self.lemmaSuffissoFilename)
#
# SaveLoad.SaveByte(self.lemmaTipo, self.lemmaTipoFilename)
# SaveLoad.SaveByte(self.lemmaTipoEsteso, self.lemmaTipoEstesoFilename)
#
# SaveLoad.SaveByte(self.lemmaTipoListLemma, self.lemmaTipolistLemmaFilename)
#
# SaveLoad.SaveByte(self.lemmaTipoListVocabolo, self.lemmaTipoListVocaboloFilename)
#
# SaveLoad.SaveByte(self.tipoList, self.tipoListFilename)
#
#
#
# #sicuro da tenere
# SaveLoad.SaveByte(self.parole,self.paroleFilename)
#
# self.SalvaRadici()
#
self.SalvaAbrev()
print SaveLoad.SaveByte(self.suffissiTag, self.suffissiTagFilename)
return True
except:
return False
def __Save(self):
print SaveLoad.SaveByte(self.rankRes, "self.rankRes")
for i in self.rankRes.iteritems():
for v in i:
v = v + u"\n"
SaveLoad.SaveLinesA(v, 'tutti i dialoghi k.txt')
return
#old
for k in self.rankRes.keys():
i = 0
try:
for v in self.rankRes[k]:
try:
dati = k + self.__SEPATATORE + v
k = self.pulisci.PulisciFilename(k)
#per evitar problemi con la lunghezza dei file
if len(k) > 90:
k = k[:90]
filename = self.folderDialoghi + k + str(
i) + self.extFile
print "file: ", filename, "Saved:", SaveLoad.SaveLines(
dati, filename)
i += 1
except:
pass
except:
pass
def allPosTag(self):
i = float(1)
tot = len(glob.glob(self.folderDialoghiClean + '*'))
ifile = len(glob.glob(self.folderDialoghiPosTag + '*'))
for fil in glob.glob(self.folderDialoghiClean + u'*'):
try:
dlg = []
for line in SaveLoad.LoadLines(fil):
if len(line.strip()) > 0:
line = unicode(line)
line = line.lower()
l = self.pos.PosTag(line)
dlg.append(l)
#salvo il file postaggato e senza \n inutili
filename = str(ifile) + u'.txt'
filename = self.folderDialoghiPosTag + filename
#salvo il file dei dialoghi
if SaveLoad.SaveByte(dlg, filename):
ifile += 1
except:
#potrebbero esserci errori di qualsiasi natura nei file, in questo caso ignoro il file e passo al successivo
pass
print "elaborazione file ", fil[len(self.folderDialoghiClean
):], " - ", i, " / ", tot
i += 1
def __init__(self):
self.__folder = "risorse\\Dati\\"
self.__folderdialoghi = self.__folder + "\\dialoghi\\dialoghiRaw\\"
self.SentiAnaliz = ParseCreaDatiSentimentAnalysis.ParseCreaDatiSentimentAnalysis(
)
self.__SentimTrainsetFilename = self.__folder + "SentiTrainSet.list"
dati = self.AvviaCreazioneDati()
print SaveLoad.SaveByte(dati, self.__SentimTrainsetFilename)
def __Save(self):
"""
Save
input: None
hidden: salva il tokenize
output: True se il processo termina correttamente
"""
try:
SaveLoad.SaveByte(self.__sentsTokenizer, self.__sentsTokenFileName)
return True
except:
return False
def __Save(self, dlgname):
print "file Saved:", SaveLoad.SaveByte(
self.data, self.folder + dlgname + self.extdlgData)
print "file Saved:", SaveLoad.SaveByte(
self.vocab, self.folder + dlgname + self.extdlgVoc)
def __Save(self):
print SaveLoad.SaveByte(self.wordsFreq, self.wordsFreqFilename)
print SaveLoad.SaveByte(self.stopWords,self.stopWordsFilename)
def Save(self):
return SaveLoad.SaveByte(self.classificatoreSenti, self.classificatoreSentiFilename)
def __Save(self):
SaveLoad.SaveByte(self.__unigram_tagger, self.__unigram_taggerFileName)
SaveLoad.SaveByte(self.__bigram_tagger, self.__bigram_taggerFileName)
return True
def __init__(self, dlgname):
self.extdlg = ".txt"
self.extdlgData = ".dat"
self.extdlgVoc = ".voc"
self.extdictWordIndex = '.dictWordIndex'
self.extdictWordScoreRow = '.dictWordsScoreRows'
self.folder = "risorse\\Dati\\dialoghi\\"
dlg = SaveLoad.LoadLines(self.folder + "\\dialoghiRaw\\" + dlgname +
self.extdlg)
#dlgfilename="C:\\Esame TTR\\risorse\\Dati\\dialoghi\\dialoghiRaw\\Black Mirror dvdrip.txt"
dlgdata = SaveLoad.LoadByte(self.folder + dlgname + self.extdlgData)
vocab = SaveLoad.LoadByte(self.folder + dlgname + self.extdlgVoc)
try:
dlgdata.mean()
except:
print "file .dat mancante\ncreazione in corso..."
#creo il file con tdidft cosine ecc...
tfidfDlgCreator.tfidfDataCreator(dlgname)
#ricarico i dati
dlgdata = SaveLoad.LoadByte(self.folder + dlgname +
self.extdlgData)
vocab = SaveLoad.LoadByte(self.folder + dlgname + self.extdlgVoc)
dictIndexWord = dict()
for i in xrange(len(vocab)):
dictIndexWord[i] = vocab[i]
#dictPosWordsReverse
self.dictWordIndex = dict()
#[word]=index in dictIndexWord
for k, v in dictIndexWord.iteritems():
self.dictWordIndex[v] = k
self.dictWordScoreRow = collections.defaultdict(list)
#[word][score in row][Row] -> per max
# print dlgdata.shape[0]
# print dlgdata.shape[1]
for row in xrange(dlgdata.shape[0]):
for col in xrange(dlgdata.shape[1]):
indice = tuple([row, col])
prob = dlgdata[indice]
if prob != float(0):
# print row, col, prob
scoreRow = dict()
word = dictIndexWord[col]
count = dlg[row].split()
count = count.count(word)
count = count * prob #dlgdata[row][col]
scoreRow[count] = row
self.dictWordScoreRow[word].append(scoreRow)
del dlgdata
print "file Saved:", SaveLoad.SaveByte(
self.dictWordScoreRow,
self.folder + dlgname + self.extdictWordScoreRow)
print "file Saved:", SaveLoad.SaveByte(
self.dictWordIndex, self.folder + dlgname + self.extdictWordIndex)
def __Save(self):
grammars = self.__defaultgrammar()
grammars.extend(self.__vprules)
grammars.extend(self.__nprules)
print 'saved:', SaveLoad.SaveByte(grammars, self.__grammarsFilename)
import time
from sklearn.feature_extraction.text import TfidfVectorizer
filename = "C:\\Esame TTR\\risorse\\Dati\\dialoghi\\dialoghiRaw\\Burn_Notice.txt"
dlg = SaveLoad.LoadLines(filename)
#analiz=AnalizzatoreSents.AnalizzatoreSents()
print time.asctime()
print 'creo copia in analiz'
#copia per analiz
dlgcopy = dlg #analiz.Analisi(dlg)
print time.asctime()
tfidf = TfidfVectorizer()
print time.asctime()
print 'creo tfidf'
tfidfdata = tfidf.fit_transform(dlgcopy)
vocab = tfidf.get_feature_names()
print type(vocab)
print SaveLoad.SaveByte(
tfidfdata, "C:\\Esame TTR\\risorse\\Dati\\dialoghi\\Burn_Notice.dat")
print SaveLoad.SaveByte(
vocab, "C:\\Esame TTR\\risorse\\Dati\\dialoghi\\Burn_Notice.voc")
# voc=SaveLoad.LoadByte("C:\\Esame TTR\\risorse\\Dati\\dialoghi\\whip it.voc")
print time.asctime()
print 'done'
