{"id":"W4395112667","doi":"10.18280/ria.380222","title":"Supervised Machine Learning Entity Sentiment Analysis: Prediction of Support for 2024 Indonesian Presidential Candidates","year":2024,"lang":"en","type":"article","venue":"Revue d intelligence artificielle","topic":"Data Mining and Machine Learning Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Indonesian; Sentiment analysis; Presidential system; Artificial intelligence; Computer science; Natural language processing; Machine learning; Political science; Linguistics; Politics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001042504,0.0003868164,0.0004004429,0.001440278,0.0003056947,0.0005601048,0.0003664217,0.0004127568,0.0007475626],"category_scores_gemma":[0.002536814,0.00008342099,0.0004086044,0.0007608301,0.00009519462,0.0005081681,0.0003331349,0.0003993336,0.0005676224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002777904,"about_ca_system_score_gemma":0.0003396015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002471192,"about_ca_topic_score_gemma":0.003188064,"domain_scores_codex":[0.9996333,0.000127393,0.00004498744,0.00006722198,0.0000681684,0.00005882584],"domain_scores_gemma":[0.9988357,0.0005184656,0.0002142257,0.00006577779,0.0003010406,0.00006479111],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001092763,0.001185023,0.4407374,0.0001966937,0.000257013,0.0002782479,0.0002440423,0.04345277,0.007714823,0.000918421,0.01249251,0.4914302],"study_design_scores_gemma":[0.0000178859,0.0002095172,0.07804244,0.0000221057,0.00006281535,0.00007943354,0.0002524412,0.915332,0.003927611,0.0004694844,0.001571555,0.00001268139],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9790518,0.0003165017,0.01665953,0.0002908313,0.00007873551,0.00005711068,0.001246053,0.0002301857,0.002069221],"genre_scores_gemma":[0.9909039,0.00007672987,0.00614651,0.00001904846,0.00004304271,0.00002388971,0.002129448,0.000004466257,0.0006530105],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002471192,"threshold_uncertainty_score":0.00551331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02197993026861135,"score_gpt":0.2828063807510679,"score_spread":0.2608264504824566,"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."}}