I am trying to write a function named custom_preprocessor that can count the number of words that contain prefixes and suffixes. Later, the function will be call at the code below. #calculate tf-idf score using sklearn tfIdfTransformer = TfidfTransformer(use_idf=True) countVectorizer = CountVectorizer(tokenizer=tokenize, preprocessor = custom_preprocessor) wordCount = countVectorizer.fit_transform(token_dict.values()) newTfIdf = tfIdfTransformer.fit_transform(wordCount) Can you help to write the function using python? Thank you.
I am trying to write a function named custom_preprocessor that can count the number of words that contain prefixes and suffixes. Later, the function will be call at the code below. #calculate tf-idf score using sklearn tfIdfTransformer = TfidfTransformer(use_idf=True) countVectorizer = CountVectorizer(tokenizer=tokenize, preprocessor = custom_preprocessor) wordCount = countVectorizer.fit_transform(token_dict.values()) newTfIdf = tfIdfTransformer.fit_transform(wordCount) Can you help to write the function using python? Thank you.
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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I am trying to write a function named custom_preprocessor that can count the number of words that contain prefixes and suffixes.
Later, the function will be call at the code below.
#calculate tf-idf score using sklearn
tfIdfTransformer = TfidfTransformer(use_idf=True)
countVectorizer = CountVectorizer(tokenizer=tokenize, preprocessor = custom_preprocessor)
wordCount = countVectorizer.fit_transform(token_dict.values())
newTfIdf = tfIdfTransformer.fit_transform(wordCount)
Can you help to write the function using python? Thank you.
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