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{ "add_lemmization": false, # add lemmization to the words "cache_lemmas": false, # save the lemmas in a cache to improve the peroformances "filter_list": [], # List of terms you do not want to see "input_field": [ "body"], # where get the input text "max_chunk_len": 2, # min number of words in a chunk "min_word_len": 4, # min character in a words "output_field": "terms", #where store the output (list) "p_significant_terms": 0.2, # % of timportantimportant terms to pickup "save_model": true, #save the generate model "step": "embedder", "type": "terms_extraction" }, |
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