I am getting an output count error after tokenizing. The remove_stopwords is working correctly for the given sentence. The output for parse_data_from_file is also matching the expected output. The fit_tokenizer has been returning 29731 instead of 29714 (difference of 17) This is leading to sequenc…

def remove_stopwords(sentence) is incorrect. These are the steps: Convert sentence to lowercase Split sentence by whitespace. This should give you a list of words. Create a new list with words in sentence that are not stopwords. Use string join method to create the new sentence without any stopwor…

C3-W1 Count Errors

Course Q&A TensorFlow Developer Professional Natural Language Processing in TensorFlow

SVM001 July 28, 2022, 9:27am 4

Simply Excellent. I was looking at a wrong place. Your suggestion not only worked but, it has also simplified my code.

Thank you so much Balaji.

'list' object has no attribute 'lower'

C3W1 Vocabulary tests as too small

Topic		Replies	Views
C3W1 incorrect word count from fit_tokenizer() function Natural Language Processing in TensorFlow week-1	6	475	December 9, 2023
C3 W1 assignment: Vocabulary contains 29608 words instead of 29714 Natural Language Processing in TensorFlow week-1	4	648	June 27, 2022
C3W1-Assignment -> too much words in vocab and wrong shape Natural Language Processing in TensorFlow	12	434	January 25, 2024
Problem with remove_stopwords( ) Natural Language Processing in TensorFlow week-1	1	537	February 13, 2023
C3W1: removing stopwords query Natural Language Processing in TensorFlow week-1	1	527	January 7, 2023

C3-W1 Count Errors

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