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Unable to resolve Type error using Tokenizer.tokenize from NLTK
The Next CEO of Stack Overflow2019 Community Moderator ElectionComplex Chunking with NLTKHow to train NLTK Sequence labeling algorithm for using custom labels/Train set?Unable to load NLTK in spark using PySparkI need to measure Performance : AUC for this code of NLTK and skLearnNeed help in improving accuracy of text classification using Naive Bayes in nltk for movie reviewsHow to extract Question/s from document with NLTK?How to extract a relation from a Named entity recognition model using NLTK in pythonUnable to generate error bars with seabornWhere to know the list of NLTK tagset?Installing NLTK using WHL file -
$begingroup$
I want to tokenize text data and am unable to proceed due to a type error, am unable to know how to proceed to rectify the error, To give some context - all the columns - Resolution code','Resolution Note','Description','Shortdescription' are text data in English- here is the code that I have written :
#Removal of Stop words:
from nltk.tokenize import sent_tokenize, word_tokenize
from nltk.corpus import stopwords
from nltk.tokenize import RegexpTokenizer
tokenizer = RegexpTokenizer(r'w+') stop_words = set(stopwords.words('english'))
tokenizer = RegexpTokenizer(r'w+') dfclean_imp_netc=pd.DataFrame()
for column in ['Resolution code','Resolution Note','Description','Shortdescription']:
dfimpnetc[column] = dfimpnetc[column].apply(tokenizer.tokenize)
for column in ['Resolution code','Resolution Note','Description','Short description']:
dfclean_imp_netc[column] = dfimpnetc[column].apply(lambda vec: [word for word in vec if word not in stop_words])
dfimpnetc['Resolution Note'] = dfclean_imp_netc['Resolution Note']
dfimpnetc['Description'] = dfclean_imp_netc['Description']
dfimpnetc['Short description'] = dfclean_imp_netc['Short description']
dfimpnetc['Resolution code'] = dfclean_imp_netc['Resolution code']
My error output is attached below:
python nltk tokenization
asked 1 hour ago
Vivek RmkVivek Rmk
11
New contributor
Vivek Rmk is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
add a comment |
$begingroup$
I want to tokenize text data and am unable to proceed due to a type error, am unable to know how to proceed to rectify the error, To give some context - all the columns - Resolution code','Resolution Note','Description','Shortdescription' are text data in English- here is the code that I have written :
#Removal of Stop words:
from nltk.tokenize import sent_tokenize, word_tokenize
from nltk.corpus import stopwords
from nltk.tokenize import RegexpTokenizer
tokenizer = RegexpTokenizer(r'w+') stop_words = set(stopwords.words('english'))
tokenizer = RegexpTokenizer(r'w+') dfclean_imp_netc=pd.DataFrame()
for column in ['Resolution code','Resolution Note','Description','Shortdescription']:
dfimpnetc[column] = dfimpnetc[column].apply(tokenizer.tokenize)
for column in ['Resolution code','Resolution Note','Description','Short description']:
dfclean_imp_netc[column] = dfimpnetc[column].apply(lambda vec: [word for word in vec if word not in stop_words])
dfimpnetc['Resolution Note'] = dfclean_imp_netc['Resolution Note']
dfimpnetc['Description'] = dfclean_imp_netc['Description']
dfimpnetc['Short description'] = dfclean_imp_netc['Short description']
dfimpnetc['Resolution code'] = dfclean_imp_netc['Resolution code']
My error output is attached below:
python nltk tokenization
asked 1 hour ago
Vivek RmkVivek Rmk
11
New contributor
Vivek Rmk is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
$begingroup$
Where do you expect that the data would come from? You initialize a dataframe, but I fail to spot where you load in data.
$endgroup$
– S van Balen
59 mins ago
add a comment |
$begingroup$
I want to tokenize text data and am unable to proceed due to a type error, am unable to know how to proceed to rectify the error, To give some context - all the columns - Resolution code','Resolution Note','Description','Shortdescription' are text data in English- here is the code that I have written :
#Removal of Stop words:
from nltk.tokenize import sent_tokenize, word_tokenize
from nltk.corpus import stopwords
from nltk.tokenize import RegexpTokenizer
tokenizer = RegexpTokenizer(r'w+') stop_words = set(stopwords.words('english'))
tokenizer = RegexpTokenizer(r'w+') dfclean_imp_netc=pd.DataFrame()
for column in ['Resolution code','Resolution Note','Description','Shortdescription']:
dfimpnetc[column] = dfimpnetc[column].apply(tokenizer.tokenize)
for column in ['Resolution code','Resolution Note','Description','Short description']:
dfclean_imp_netc[column] = dfimpnetc[column].apply(lambda vec: [word for word in vec if word not in stop_words])
dfimpnetc['Resolution Note'] = dfclean_imp_netc['Resolution Note']
dfimpnetc['Description'] = dfclean_imp_netc['Description']
dfimpnetc['Short description'] = dfclean_imp_netc['Short description']
dfimpnetc['Resolution code'] = dfclean_imp_netc['Resolution code']
My error output is attached below:
python nltk tokenization
asked 1 hour ago
Vivek RmkVivek Rmk
11
New contributor
Vivek Rmk is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
I want to tokenize text data and am unable to proceed due to a type error, am unable to know how to proceed to rectify the error, To give some context - all the columns - Resolution code','Resolution Note','Description','Shortdescription' are text data in English- here is the code that I have written :
#Removal of Stop words:
from nltk.tokenize import sent_tokenize, word_tokenize
from nltk.corpus import stopwords
from nltk.tokenize import RegexpTokenizer
tokenizer = RegexpTokenizer(r'w+') stop_words = set(stopwords.words('english'))
tokenizer = RegexpTokenizer(r'w+') dfclean_imp_netc=pd.DataFrame()
for column in ['Resolution code','Resolution Note','Description','Shortdescription']:
dfimpnetc[column] = dfimpnetc[column].apply(tokenizer.tokenize)
for column in ['Resolution code','Resolution Note','Description','Short description']:
dfclean_imp_netc[column] = dfimpnetc[column].apply(lambda vec: [word for word in vec if word not in stop_words])
dfimpnetc['Resolution Note'] = dfclean_imp_netc['Resolution Note']
dfimpnetc['Description'] = dfclean_imp_netc['Description']
dfimpnetc['Short description'] = dfclean_imp_netc['Short description']
dfimpnetc['Resolution code'] = dfclean_imp_netc['Resolution code']
My error output is attached below:
python nltk tokenization
python nltk tokenization
asked 1 hour ago
Vivek RmkVivek Rmk
11
New contributor
Vivek Rmk is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 1 hour ago
Vivek RmkVivek Rmk
11
New contributor
Vivek Rmk is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
edited 1 hour ago
Vivek Rmk
asked 1 hour ago
Vivek RmkVivek Rmk
11
New contributor
Vivek Rmk is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 1 hour ago
Vivek RmkVivek Rmk
11
asked 1 hour ago
Vivek RmkVivek Rmk
11
11
New contributor
Vivek Rmk is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
Vivek Rmk is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
Vivek Rmk is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$begingroup$
Where do you expect that the data would come from? You initialize a dataframe, but I fail to spot where you load in data.
$endgroup$
– S van Balen
59 mins ago
add a comment |
$begingroup$
Where do you expect that the data would come from? You initialize a dataframe, but I fail to spot where you load in data.
$endgroup$
– S van Balen
59 mins ago
$begingroup$
Where do you expect that the data would come from? You initialize a dataframe, but I fail to spot where you load in data.
$endgroup$
– S van Balen
59 mins ago
$begingroup$
Where do you expect that the data would come from? You initialize a dataframe, but I fail to spot where you load in data.
$endgroup$
– S van Balen
59 mins ago
add a comment |
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Vivek Rmk is a new contributor. Be nice, and check out our Code of Conduct.
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$begingroup$
Where do you expect that the data would come from? You initialize a dataframe, but I fail to spot where you load in data.
$endgroup$
– S van Balen
59 mins ago