{"id":"W2959013365","doi":"10.18280/isi.240119","title":"Sentiment Analysis from Movie Reviews Using LSTMs","year":2019,"lang":"fr","type":"article","venue":"Ingénierie des systèmes d information","topic":"Sentiment Analysis and Opinion Mining","field":"Computer Science","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sentiment analysis; Computer science; Natural language processing; Artificial intelligence; Information retrieval","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001271427,0.0003941817,0.0008980285,0.0008004514,0.0003076248,0.001565185,0.0006531405,0.0002064564,0.002308381],"category_scores_gemma":[0.00008790241,0.0003967437,0.0007099594,0.003101323,0.0000994223,0.008131785,0.0003357248,0.0002068594,0.003912091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005359785,"about_ca_system_score_gemma":0.0001265334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001561486,"about_ca_topic_score_gemma":0.00002672588,"domain_scores_codex":[0.9963581,0.0003232475,0.001684557,0.0004191318,0.0006468786,0.000568114],"domain_scores_gemma":[0.9971073,0.0001040557,0.001310776,0.000966704,0.0003293296,0.0001818469],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004567305,0.0002528475,0.126279,0.001245752,0.006495525,0.00001358661,0.05195796,0.07678848,0.001110233,0.02367672,0.005934042,0.7062002],"study_design_scores_gemma":[0.0003968317,0.00004825194,0.006974324,0.0006308485,0.001108998,0.000006097122,0.0006853821,0.8904219,0.000510633,0.0007854936,0.09791988,0.0005113998],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2852905,0.01944146,0.6815051,0.0003211242,0.004127831,0.0008312198,0.00005790566,0.0001181797,0.008306623],"genre_scores_gemma":[0.8847451,0.002488174,0.1026333,0.001686201,0.0006751867,0.00004419341,0.000896487,0.00003841332,0.006792912],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8136334,"threshold_uncertainty_score":0.9998484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04026820360881078,"score_gpt":0.2761655489065912,"score_spread":0.2358973452977804,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}