Background: The aim of this study was to develop natural language processing (NLP) algorithms to conduct automated identification of incidental durotomy, wound drains, and the use of sutures or skin ...
Abstract: Research on sentiment analysis has proven to be very useful in public health, particularly in analyzing infectious diseases. As the world recovers from the onslaught of the COVID-19 pandemic ...
Abstract: Social media platforms, such as Twitter, are being increasingly used by people as a means of requesting help during disaster events. Machine learning techniques can be used to identify ...
Many tabular data models run CountVectorizer against categorical and text data to featurize the data. At the large scale especially, the min_df or max_features are commonly used to limit the ...
1 Jomo Kenyatta Unversity of Agriculture and Technology, Nairobi, Kenya. 2 Department of Statistics and Actuarial Sciences, JKUAT, Nairobi, Kenya. 3 Department of Mathematics and Actuarial Sciences, ...
Can machine learning be applied to your PPC accounts to make them more efficient? Columnist David Fothergill describes how he utilized machine learning to find new keywords for his campaigns. A key ...
I was doing text classification task these days, and I found the CountVectorizer / TfidfVectorizer quite slow. Then I look into the source code, I found the the function CountVectorizer._count_vocab: ...
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