{"id":"W4415360001","doi":"10.59934/jaiea.v5i1.1548","title":"Sentiment Analysis of Students on Campus Facilities and Infrastructure Using the Naïve Bayes Classifier Method (Case Study STMIK Kaputama)","year":2025,"lang":"","type":"article","venue":"Journal of Artificial Intelligence and Engineering Applications (JAIEA)","topic":"Data Mining and Machine Learning Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Naive Bayes classifier; Classifier (UML); Sentiment analysis; Weighting; Precision and recall; Recall; The Internet","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":[0.001104737,0.0002520759,0.0003240776,0.0009613338,0.0007189151,0.0008224294,0.000202199,0.0004282368,0.001407531],"category_scores_gemma":[0.002876403,0.0001095791,0.0004953043,0.0009544521,0.0002662577,0.0004573065,0.0002488979,0.0003411701,0.0005805278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006731655,"about_ca_system_score_gemma":0.0004037694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003912827,"about_ca_topic_score_gemma":0.004843316,"domain_scores_codex":[0.999063,0.0003024704,0.00008170053,0.0001266489,0.0003303187,0.00009588175],"domain_scores_gemma":[0.9980454,0.00088387,0.000197027,0.00005518967,0.0007482235,0.00007018858],"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":[0.001188231,0.001259177,0.3758248,0.001434694,0.0002056232,0.007604704,0.02239689,0.01115047,0.07723954,0.003054309,0.01703022,0.4816113],"study_design_scores_gemma":[0.0000828858,0.001781163,0.6308802,0.000483437,0.0004015849,0.00563457,0.05533195,0.1900214,0.06822623,0.002909108,0.04401831,0.0002291757],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9862962,0.000126967,0.00786903,0.0004119418,0.00004535605,0.000150492,0.0006571204,0.00003422587,0.004408594],"genre_scores_gemma":[0.9854525,0.000182962,0.01057823,0.00007525866,0.0000355988,0.00008724231,0.0005944378,0.00001148405,0.002982307],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003912827,"threshold_uncertainty_score":0.007780135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03083718718412034,"score_gpt":0.362656783589094,"score_spread":0.3318195964049737,"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."}}