Data-Purifier
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unigram_df attribute of Nlpeda module only works if no null values in Dataframe
Is this the only way to do it or is there a possibility to maybe deal with null values and/or replace them, so that the unigram_df attribute still works without an error message?
yes, instead of dropping null rows, we can fill in with some other values, I will update in upcoming versions