Python 2.7 : Why MyOutput Word Tokenize in alphabet not in word

I did word tokenize from text file(token.txt), the content are

best hotel great food many facilities kids family near city center comfortable room . room big luxurious even deluxe type breakfast many variant choosen .best hotel great food many facilities kids family near city center comfortable room .

before this,i did stopword removal,remove punctual and remove unnecessary word.

then i did word tokenizing and write to file using code :

import codecs

import nltk

from nltk import sent_tokenize,word_tokenize,pos_tag



fname = "token.txt"

file_object = open("tokenres.txt", 'w')



with codecs.open(fname, 'r',"latin-1") as f:

    for line in f:

       tweet = f.readlines()



       tokenized_sents = [word_tokenize(i) for i in tweet]

       for i in tokenized_sents:



                file_object.write(str(i))



file_object.close()

Using that code, there were no result.file tokenres.txt still empty.
But if i use this code :

with codecs.open(fname, 'r',"latin-1") as f:

    for line in f:

       tweet = f.read()



       tokenized_sents = [word_tokenize(i) for i in line]

       for i in tokenized_sents:



                file_object.write(str(i))



file_object.close()

The Output can write in file tokenres.txt. Not word by word, but alphabet per alphabet the token result like this.

[u'b'][u'e'][u's'][u't'][u'h'][u'o'][u't'][u'e'][u'l'][u'g'][u'r'][u'e'][u'a'][u't'][u'f'][u'o'][u'o'][u'd'][u'm'][u'a'][u'n'][u'y'][u'f'][u'a'][u'c'][u'i'][u'l'][u'i'][u't'][u'i'][u'e'][u's'][u'k'][u'i'][u'd'][u's'][u'f'][u'a'][u'm'][u'i'][u'l'][u'y'][u'n'][u'e'][u'a'][u'r'][u'c'][u'i'][u't'][u'y'][u'c'][u'e'][u'n'][u't'][u'e'][u'r'][u'c'][u'o'][u'm'][u'f'][u'o'][u'r'][u't'][u'a'][u'b'][u'l'][u'e'][u'r'][u'o']

How can i solve this to make right tokenize output, for pos tagging ?. And after tokenize im going to do Pos Tagging from file tokenres.txt.

edited Nov 26 '18 at 14:44

Ivan Kolesnikov

1,26111032

asked Nov 23 '18 at 7:59

Wahyu

add a comment |

I did word tokenize from text file(token.txt), the content are

best hotel great food many facilities kids family near city center comfortable room . room big luxurious even deluxe type breakfast many variant choosen .best hotel great food many facilities kids family near city center comfortable room .

before this,i did stopword removal,remove punctual and remove unnecessary word.

then i did word tokenizing and write to file using code :

import codecs

import nltk

from nltk import sent_tokenize,word_tokenize,pos_tag



fname = "token.txt"

file_object = open("tokenres.txt", 'w')



with codecs.open(fname, 'r',"latin-1") as f:

    for line in f:

       tweet = f.readlines()



       tokenized_sents = [word_tokenize(i) for i in tweet]

       for i in tokenized_sents:



                file_object.write(str(i))



file_object.close()

Using that code, there were no result.file tokenres.txt still empty.
But if i use this code :

with codecs.open(fname, 'r',"latin-1") as f:

    for line in f:

       tweet = f.read()



       tokenized_sents = [word_tokenize(i) for i in line]

       for i in tokenized_sents:



                file_object.write(str(i))



file_object.close()

The Output can write in file tokenres.txt. Not word by word, but alphabet per alphabet the token result like this.

[u'b'][u'e'][u's'][u't'][u'h'][u'o'][u't'][u'e'][u'l'][u'g'][u'r'][u'e'][u'a'][u't'][u'f'][u'o'][u'o'][u'd'][u'm'][u'a'][u'n'][u'y'][u'f'][u'a'][u'c'][u'i'][u'l'][u'i'][u't'][u'i'][u'e'][u's'][u'k'][u'i'][u'd'][u's'][u'f'][u'a'][u'm'][u'i'][u'l'][u'y'][u'n'][u'e'][u'a'][u'r'][u'c'][u'i'][u't'][u'y'][u'c'][u'e'][u'n'][u't'][u'e'][u'r'][u'c'][u'o'][u'm'][u'f'][u'o'][u'r'][u't'][u'a'][u'b'][u'l'][u'e'][u'r'][u'o']

How can i solve this to make right tokenize output, for pos tagging ?. And after tokenize im going to do Pos Tagging from file tokenres.txt.

edited Nov 26 '18 at 14:44

Ivan Kolesnikov

1,26111032

asked Nov 23 '18 at 7:59

Wahyu

add a comment |

I did word tokenize from text file(token.txt), the content are

best hotel great food many facilities kids family near city center comfortable room . room big luxurious even deluxe type breakfast many variant choosen .best hotel great food many facilities kids family near city center comfortable room .

before this,i did stopword removal,remove punctual and remove unnecessary word.

then i did word tokenizing and write to file using code :

import codecs

import nltk

from nltk import sent_tokenize,word_tokenize,pos_tag



fname = "token.txt"

file_object = open("tokenres.txt", 'w')



with codecs.open(fname, 'r',"latin-1") as f:

    for line in f:

       tweet = f.readlines()



       tokenized_sents = [word_tokenize(i) for i in tweet]

       for i in tokenized_sents:



                file_object.write(str(i))



file_object.close()

Using that code, there were no result.file tokenres.txt still empty.
But if i use this code :

with codecs.open(fname, 'r',"latin-1") as f:

    for line in f:

       tweet = f.read()



       tokenized_sents = [word_tokenize(i) for i in line]

       for i in tokenized_sents:



                file_object.write(str(i))



file_object.close()

The Output can write in file tokenres.txt. Not word by word, but alphabet per alphabet the token result like this.

[u'b'][u'e'][u's'][u't'][u'h'][u'o'][u't'][u'e'][u'l'][u'g'][u'r'][u'e'][u'a'][u't'][u'f'][u'o'][u'o'][u'd'][u'm'][u'a'][u'n'][u'y'][u'f'][u'a'][u'c'][u'i'][u'l'][u'i'][u't'][u'i'][u'e'][u's'][u'k'][u'i'][u'd'][u's'][u'f'][u'a'][u'm'][u'i'][u'l'][u'y'][u'n'][u'e'][u'a'][u'r'][u'c'][u'i'][u't'][u'y'][u'c'][u'e'][u'n'][u't'][u'e'][u'r'][u'c'][u'o'][u'm'][u'f'][u'o'][u'r'][u't'][u'a'][u'b'][u'l'][u'e'][u'r'][u'o']

How can i solve this to make right tokenize output, for pos tagging ?. And after tokenize im going to do Pos Tagging from file tokenres.txt.

edited Nov 26 '18 at 14:44

Ivan Kolesnikov

1,26111032

asked Nov 23 '18 at 7:59

Wahyu

I did word tokenize from text file(token.txt), the content are

best hotel great food many facilities kids family near city center comfortable room . room big luxurious even deluxe type breakfast many variant choosen .best hotel great food many facilities kids family near city center comfortable room .

before this,i did stopword removal,remove punctual and remove unnecessary word.

then i did word tokenizing and write to file using code :

import codecs

import nltk

from nltk import sent_tokenize,word_tokenize,pos_tag



fname = "token.txt"

file_object = open("tokenres.txt", 'w')



with codecs.open(fname, 'r',"latin-1") as f:

    for line in f:

       tweet = f.readlines()



       tokenized_sents = [word_tokenize(i) for i in tweet]

       for i in tokenized_sents:



                file_object.write(str(i))



file_object.close()

Using that code, there were no result.file tokenres.txt still empty.
But if i use this code :

with codecs.open(fname, 'r',"latin-1") as f:

    for line in f:

       tweet = f.read()



       tokenized_sents = [word_tokenize(i) for i in line]

       for i in tokenized_sents:



                file_object.write(str(i))



file_object.close()

The Output can write in file tokenres.txt. Not word by word, but alphabet per alphabet the token result like this.

[u'b'][u'e'][u's'][u't'][u'h'][u'o'][u't'][u'e'][u'l'][u'g'][u'r'][u'e'][u'a'][u't'][u'f'][u'o'][u'o'][u'd'][u'm'][u'a'][u'n'][u'y'][u'f'][u'a'][u'c'][u'i'][u'l'][u'i'][u't'][u'i'][u'e'][u's'][u'k'][u'i'][u'd'][u's'][u'f'][u'a'][u'm'][u'i'][u'l'][u'y'][u'n'][u'e'][u'a'][u'r'][u'c'][u'i'][u't'][u'y'][u'c'][u'e'][u'n'][u't'][u'e'][u'r'][u'c'][u'o'][u'm'][u'f'][u'o'][u'r'][u't'][u'a'][u'b'][u'l'][u'e'][u'r'][u'o']

How can i solve this to make right tokenize output, for pos tagging ?. And after tokenize im going to do Pos Tagging from file tokenres.txt.

python python-2.7

edited Nov 26 '18 at 14:44

Ivan Kolesnikov

1,26111032

asked Nov 23 '18 at 7:59

Wahyu

edited Nov 26 '18 at 14:44

Ivan Kolesnikov

1,26111032

asked Nov 23 '18 at 7:59

Wahyu

edited Nov 26 '18 at 14:44

Ivan Kolesnikov

1,26111032

edited Nov 26 '18 at 14:44

Ivan Kolesnikov

1,26111032

edited Nov 26 '18 at 14:44

Ivan Kolesnikov

1,26111032

asked Nov 23 '18 at 7:59

Wahyu

asked Nov 23 '18 at 7:59

Wahyu

asked Nov 23 '18 at 7:59

Wahyu

add a comment |

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