What would be the best operator to use to filter/remove bad data for Sentiment Analysis?
I have a data set that is a list of reviews for the Spotify app but some of the data is either corrupted and outputs non-numerical, alphabetical, or character data as seen below. What would be a good operator to remove this kind of data? Thank you!
You can use a filter example to set the filtering rule as a match and define a Regex that looks for these non word characters and remove those from your example set.