how to correctly use countvectorizer

How To Use CountVectorizer for Text Processing?

Scikit-learn’s CountVectorizer is used to transform a corpora of text to a vector of term / token counts. It also provides the capability to preprocess your text data prior to generating the vector representation making it a highly flexible feature representation module for text. In this article, we are going to go in-depth into the …

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Build Your First Text Classifier in Python with Logistic Regression

Text classification is the automatic process of predicting one or more categories given a piece of text. For example, predicting if an email is legit or spammy. Thanks to Gmail’s spam classifier, I don’t see or hear from spammy emails! Spam classification Other than spam detection, text classifiers can be used to determine sentiment in …

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what is the hcahps survey

HCAHPS Survey: 10 Frequently Asked Questions

As NLP and Machine Learning consultants, part of what we do is analyze data – primarily text data in combination with structured data to help organizations make informed decisions. However, when it came down to analyzing the HCAHPS survey data, there was a lot of confusion around what the HCAHPS is, how it works and …

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