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This project forked from tawadrosgamal/nlp_task
Usage: saved model location: ./sen_analysis supported functions: 1) Predict on sentence: python nlp_api.py --prediction True --prediction_text Chinese text input : Chinese text as a string output: json object with Sentiment and prints the prediction (positive / negative) 2) predict on dataset: python nlp_api.py --predict_many True --dataset_path DATASET_PATH input : json dataset with content column output: json file with content and has_negtv columns (located in same directory as api) json file name format : prediction_yy-mm-dd.json 3) extract most frequent comments from dataset: python nlp_api.py --word_freq True --dataset_path DATASET_PATH input : json dataset with content and has_negtv columns output: 2 json files one for 20 most frequent positive comments and the other with the 20 most frequent negative comments (located in same directory as api) json file name format : Neg_yy-mm-dd.json json file name format : Pos_yy-mm-dd.json
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