def only_stems(keywords):
st = PorterStemmer()
os = OrengoStemmer()
ss = SavoyStemmer()
rs = RSLPStemmer()
stem1 = [st.getWordStem(x.encode('utf8')) for x in keywords]
stem2 = [rs.stem(x.encode('utf8')) for x in keywords]
stem3 = [os.getWordStem(x.encode('utf8')) for x in keywords]
stem4 = [ss.getWordStem(x.encode('utf8')) for x in keywords]
return stem1+stem2+stem3+stem4
def stem(caller, word): global _orengostemmer lang = getattr(caller, "lang", "en") if lang == "en": return porter2.stem(word) elif lang == "pt": if _orengostemmer is None: from ptstemmer.implementations.OrengoStemmer import OrengoStemmer _orengostemmer = OrengoStemmer() return _orengostemmer.getWordStem(word) else: return word
def __setup(self):
utl = Utils()
stemmer = OrengoStemmer()
stemmer.enableCaching(1000)
input_file = open("Data_sets/"+self.__file_name+".csv", "r")
annotation = []
annotation_int = []
for line in input_file:
vec = line.split(';')
annotation.append(vec[1].replace('\n',''))
annotation_int.append(int(vec[1].replace('\n','')))
vec[0] = vec[0].lower()
vec[0] = utl.remove_marks(vec[0])
vec[0] = utl.replace_mentions(vec[0])
vec[0] = utl.delete_links(vec[0])
phrase = ''
for elem in vec[0].split(' '):
if(self.__lang == 'en'):
elem = stem(elem)
if(self.__lang == 'pt'):
elem = stemmer(elem)
phrase = phrase+' '+elem
self.__corpus.append(phrase.replace('\n',''))
self.__number_of_examples = len(self.__corpus)
transform = self.__vectorizer.fit_transform(self.__corpus)
feature_list = self.__vectorizer.get_feature_names()
transform_binary = self.__vectorizer_binary.fit_transform(self.__corpus)
self.__feature_vector_len = len(feature_list)
self.__X = self.__vectorizer.transform(self.__corpus)
self.__X_binary = self.__vectorizer_binary.transform(self.__corpus).toarray().tolist()
self.__y = annotation
self.__y_int = annotation_int
self.__set_of_classes = set(annotation)
def _getStemmerObject(self, language="pt-br", approach="orengo"):
if (approach != self.stemmerType):
self.stemmerType = approach
if approach == "orengo":
self.stemmer = OrengoStemmer()
if approach == "porter":
self.stemmer = PorterStemmer()
if approach == "savoy":
self.stemmer = SavoyStemmer()
return self.stemmer
# -*- coding: LATIN-1 -*-
'''
* PTStemmer - A Stemming toolkit for the Portuguese language (C) 2008-2010 Pedro Oliveira
*
* This file is part of PTStemmer.
* PTStemmer is free software: you can redistribute it and/or modify
* it under the terms of the GNU Lesser General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* PTStemmer is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU Lesser General Public License for more details.
*
* You should have received a copy of the GNU Lesser General Public License
* along with PTStemmer. If not, see <http://www.gnu.org/licenses/>.
'''
from ptstemmer.implementations.OrengoStemmer import OrengoStemmer
from ptstemmer.implementations.SavoyStemmer import SavoyStemmer
from ptstemmer.implementations.PorterStemmer import PorterStemmer
from ptstemmer.support import PTStemmerUtilities
if __name__ == '__main__':
s = OrengoStemmer() #or PorterStemmer or SavoyStemmer
s.enableCaching(1000)
s.ignore(PTStemmerUtilities.fileToSet(""))
stem = s.getWordStem("ciências")
print(PTStemmerUtilities.removeDiacritics(stem))
print(s.getWordStem("extremamente"))
import os
import json
from flask import Flask, jsonify, request
from ptstemmer.implementations.OrengoStemmer import OrengoStemmer
from ptstemmer.implementations.SavoyStemmer import SavoyStemmer
from ptstemmer.implementations.PorterStemmer import PorterStemmer
app = Flask(__name__)
stemmer = OrengoStemmer()
stemmer.enableCaching(1000) #Optional
@app.route('/')
def main():
return '''
<html>
<head><title>Stemming Words</title></head>
<body>
<p>
<h3>Saiba mais...</h3>
<ul>
<li><b>Para testar acesse a rota:</b> /steam?word=digite_a_palavra_desejada</li>
<li>
<a href='https://github.com/ednilsonmcs/apistemmer'>Repo no Git</a>
</li>
<li>
<a href='https://www.linkedin.com/in/ednilsonmcs/'>Meu linkedin</a>
</li>
</ul>
</p>
</body>
def __init__(self):
self.stopWords = []
self.stopWordsOnlyASCIICharacteres = False
self.stemmer = OrengoStemmer()
self.stemmerType = "orengo"
#!/usr/bin/env python
"""
* PTStemmer - A Stemming toolkit for the Portuguese language (C) 2008-2010 Pedro Oliveira
*
* This file is part of PTStemmer.
* PTStemmer is free software: you can redistribute it and/or modify
* it under the terms of the GNU Lesser General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* PTStemmer is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU Lesser General Public License for more details.
*
* You should have received a copy of the GNU Lesser General Public License
* along with PTStemmer. If not, see <http://www.gnu.org/licenses/>.
"""
from ptstemmer.implementations.OrengoStemmer import OrengoStemmer
from ptstemmer.implementations.SavoyStemmer import SavoyStemmer
from ptstemmer.implementations.PorterStemmer import PorterStemmer
if __name__ == "__main__":
s = OrengoStemmer()
# s = PorterStemmer()
# s = SavoyStemmer()
s.enableCaching(1000)
s.ignore(["a", "e"])
print s.getWordStem("extremamente")
text = text.replace("Ò","o")
text = text.replace("Õ","o")
text = text.replace("Ô","o")
text = text.replace("Ú","u")
text = text.replace("Ù","u")
text = text.replace("Û","u")
text = text.replace("Ü","u")
return text
if __name__ == "__main__":
utl = Utils()
input_file_name = 'hcr-train'
lang = 'en'
stemmer = OrengoStemmer()
stemmer.enableCaching(1000)
input_file = open("Data_sets/"+input_file_name+".csv", "r")
corpus = []
annotation = []
for line in input_file:
vec = line.split(';')
annotation.append(vec[1].replace('\n',''))
vec[0] = vec[0].lower()
vec[0] = utl.remove_marks(vec[0])
vec[0] = utl.replace_mentions(vec[0])
vec[0] = utl.delete_links(vec[0])
vec[0] = stem(vec[0])
#!/usr/bin/env python
'''
* PTStemmer - A Stemming toolkit for the Portuguese language (C) 2008-2010 Pedro Oliveira
*
* This file is part of PTStemmer.
* PTStemmer is free software: you can redistribute it and/or modify
* it under the terms of the GNU Lesser General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* PTStemmer is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU Lesser General Public License for more details.
*
* You should have received a copy of the GNU Lesser General Public License
* along with PTStemmer. If not, see <http://www.gnu.org/licenses/>.
'''
from ptstemmer.implementations.OrengoStemmer import OrengoStemmer
from ptstemmer.implementations.SavoyStemmer import SavoyStemmer
from ptstemmer.implementations.PorterStemmer import PorterStemmer
from ptstemmer.support import PTStemmerUtilities
if __name__ == '__main__':
s = OrengoStemmer() #or PorterStemmer or SavoyStemmer
s.enableCaching(1000)
s.ignore(PTStemmerUtilities.fileToSet(""))
stem = s.getWordStem("ciências")
print PTStemmerUtilities.removeDiacritics(stem)
print s.getWordStem("extremamente")