polars-textproc 0.1.2

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ccstuff

Polars plugins to apply gopher repetetition penalties and fasttext classifiers to text data.

polars_textproc.repetition_signals(expr) applies the gopher repetetition signals to each text in the given expr (e.g. a dataframe column). Returns a struct containing top_1_gram_char_ratio, ... top_4_gram_char_ratio, dup_5_gram_char_ratio ... dup_10_gram_char_ratio.

polars_textproc.fasttext(expr, path, labels) applies the fasttext model at path to each text in the given expr (e.g. a column). By default it returns a struct with the fields top_label, top_score, and total_score. The returned values can be controlled with output_aggregate (default: True), and output_scores (default: False). With output_scores=True, the score for all supplied labels will be returned (with the label as the struct field name). With output_aggregate=False, top_label, top_score, and total_score will not be returned.