For some applications like documentation classification, it may make sense to remove stop words. NLTK provides a list of commonly agreed upon stop words for a variety of languages, such as English. They can be loaded as follows: 1 2 3 from nltk.corpus import stopwords stop_words = stopword...
The parameters we need are the spaCy language model, lemmatization and remove_stopwords. Using scikit-learn pipelines In machine learning many tasks are expressible assequences or combinations of transformations to data[3]. Pipelines offer a clear overview of our preprocessing steps, turning a chain...