`nimare.annotate.text`.generate_counts¶

generate_counts(text_df, text_column='abstract', tfidf=True, min_df=50, max_df=0.5)[source]¶

Generate tf-idf weights for unigrams/bigrams derived from textual data.

Parameters:	text_df ((D x 2) `pandas.DataFrame`) – A DataFrame with two columns (‘id’ and ‘text’). D = document.
Returns:	weights_df – A DataFrame where the index is ‘id’ and the columns are the unigrams/bigrams derived from the data. D = document. T = term.
Return type:	(D x T) `pandas.DataFrame`

nimare.annotate.text.generate_counts¶