{"id":"W6949129192","doi":"10.5281/zenodo.11516190","title":"Text Sentiment Detection and Classification Based on Integrated Learning Algorithm","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Sentiment Analysis and Opinion Mining","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"CanBiocin (Canada)","funders":"","keywords":"Sentiment analysis; Random forest; Voting; Classifier (UML); Support vector machine; Majority rule; Test set; Statistical classification","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001664881,0.0008252143,0.001152554,0.002086051,0.0004422276,0.0012509,0.0009542229,0.0008337192,0.001851467],"category_scores_gemma":[0.003505342,0.0002627799,0.0008233764,0.001631159,0.0002689835,0.001788936,0.0006744906,0.0007470663,0.001176352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004498762,"about_ca_system_score_gemma":0.0005224454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001267413,"about_ca_topic_score_gemma":0.001135532,"domain_scores_codex":[0.9988864,0.0002491351,0.0001159024,0.0002648104,0.000374082,0.0001097061],"domain_scores_gemma":[0.9987504,0.0003699774,0.0001061651,0.0000930382,0.0006451753,0.00003517316],"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":[0.0005752321,0.0003553492,0.007167583,0.0001531788,0.0001891374,0.00009292173,0.0001333426,0.03689817,0.02868719,0.003259824,0.003251459,0.9192365],"study_design_scores_gemma":[0.0000203071,0.0001296153,0.001619935,0.00001360387,0.00004118316,0.00005933176,0.00003262641,0.9885239,0.007135589,0.001510813,0.0009009361,0.00001223201],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07535745,0.0005191956,0.9184858,0.0002015143,0.0001297352,0.0002251783,0.00013809,0.002159752,0.002783282],"genre_scores_gemma":[0.4674886,0.0003331811,0.5283455,0.0001312621,0.0001094802,0.0002811511,0.0006889559,0.0001150719,0.002506719],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002086051,"threshold_uncertainty_score":0.008804798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03080782568734622,"score_gpt":0.2528390788650512,"score_spread":0.222031253177705,"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."}}