{"id":"W4406800538","doi":"10.18280/isi.300109","title":"Travel Vlog Reviews: Support Vector Machine Performance in Sentiment Classification","year":2025,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Sentiment Analysis and Opinion Mining","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universitas Katolik Indonesia Atma Jaya; Universitas Indonesia","keywords":"Support vector machine; Computer science; Sentiment analysis; Artificial intelligence; Machine learning; Data mining; 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":[],"consensus_categories":[],"category_scores_codex":[0.0008802928,0.0001527869,0.0002561157,0.0005385403,0.0001563955,0.0002721515,0.0004216811,0.00006694671,0.0000485231],"category_scores_gemma":[0.00006237644,0.000141068,0.00008221479,0.001056509,0.00003584733,0.002810599,0.00009906924,0.0001124508,0.0002042401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002568665,"about_ca_system_score_gemma":0.00007869193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002462438,"about_ca_topic_score_gemma":0.000006783405,"domain_scores_codex":[0.9984284,0.0000701311,0.0008614896,0.0001800064,0.0002199013,0.0002400684],"domain_scores_gemma":[0.9991488,0.00003002593,0.0003055048,0.0003780791,0.00009670939,0.00004092371],"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":[0.00002491796,0.000113625,0.05256744,0.0006923444,0.00006640928,0.00000166466,0.008409709,0.0004609014,0.000670256,0.05917715,0.003404921,0.8744107],"study_design_scores_gemma":[0.0006842225,0.00007165685,0.4147716,0.0004598732,0.00002130353,0.000006275402,0.0003749929,0.5516372,0.002198196,0.0004343667,0.02902896,0.0003113746],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06256457,0.0007437532,0.8937669,0.000651693,0.0009591804,0.0008071983,0.000004940161,0.0001686397,0.04033311],"genre_scores_gemma":[0.9927681,0.0003969287,0.005651464,0.0004029324,0.00002058162,0.00007795746,0.0001070343,0.000003398699,0.0005716125],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9302035,"threshold_uncertainty_score":0.5752586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02369826723897463,"score_gpt":0.2651353012611111,"score_spread":0.2414370340221365,"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."}}