Tokenization is the process of splitting a sentence or a chunk of text into its constituent parts. These “tokens” may be the letters, punctuation, words, or sentences. They could even be a combination of all these elements. This recipe was adapted from a Python Notebook written by Kynan Lee for TAPoR.ca.
Stemming and Lemmatization are text analysis methods that return the root word of derivative forms of the word. This is done by removing the suffixes of words (stemming) or by comparing the derivative words to a predetermined vocabulary of their root forms (lemmatization). This recipe was adapted from a Python Notebook written by Kynan Lee for TAPoR.ca.
The introductory section of a tutorial content.