Regex clean text data7/5/2023 ![]() There's a great tutorial for spacy on their website. I recommend playing around with your own dummy data, trying different regular expressions with the re module, and playing around with the wordcloud, spacy and seaborn modules. replacement - the text with which to replace the matched portion of. be removed/replaced or are they a useful predictor? Will removing punctuation improve or reduce a machine learning model's performance or make no difference at all? Should the text be converted to lower case? There's no right answer, so its useful to be able to easily play around with the text data and experiment. regularexpression - a regular expression that matches a portion of fieldexpression. Data cleaning and analysis is a big part of working with text data, and deciding what to change, and how, will depend on the problem being solved and is part of the art of data science. Unnamed capture groups use the (pattern) syntax and place matches. Regex is a technique that can create patterns that can identify some substring from a string. Use named or unnamed capture groups to extract distinct chunks into several output columns.
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