tokenizer=Tokenizer(num_words=1000, split=' ')
tokenizer.fit_on_texts(d['column'].values)
x=tokenizer.texts_to_sequences(d['column'].values)
In column POS_words I have all sentences having skills (C#, Office365, ...) there are some nos. +91.
I want to convert it into array but its throwing error
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-7-a59a11ef92f5> in <module>()
1 tokenizer=Tokenizer(num_words=1000, split=' ')
----> 2 tokenizer.fit_on_texts(d['POS_words'].values)
3
4 x=tokenizer.texts_to_sequences(d['POS_words'].values)
5 #xtest=tokenizer.texts_to_sequences(test['POS_words'].values)
1 frames
/usr/local/lib/python3.7/dist-packages/keras_preprocessing/text.py in text_to_word_sequence(text, filters, lower, split)
41 """
42 if lower:
---> 43 text = text.lower()
44
45 if sys.version_info < (3,):
AttributeError: 'int' object has no attribute 'lower'
Please tell me how to fix this
The issue is solved
d['column']=d['column'].astype(str)