{"id":"W4410973968","doi":"10.23977/acss.2025.090213","title":"Review of Public Opinion Sentiment Recognition Technology","year":2025,"lang":"en","type":"article","venue":"Advances in Computer Signals and Systems","topic":"Sentiment Analysis and Opinion Mining","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Public opinion; Sentiment analysis; Computer science; Data science; Artificial intelligence; Political science; Law; 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":[0.002266443,0.0007697296,0.0009416411,0.002876285,0.0004516866,0.002234682,0.001136374,0.001185385,0.004160614],"category_scores_gemma":[0.005013207,0.0004972047,0.0007387017,0.003151713,0.0007693736,0.002894348,0.000746264,0.00127233,0.003011165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009145291,"about_ca_system_score_gemma":0.001519478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002056386,"about_ca_topic_score_gemma":0.002078006,"domain_scores_codex":[0.9991347,0.0001826067,0.0001207091,0.0001819008,0.0003251887,0.00005495164],"domain_scores_gemma":[0.9964206,0.001837308,0.0002529111,0.00009645875,0.001303037,0.00008966438],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006423836,0.00004049465,0.0008403545,0.008494591,0.0000932484,0.0001125737,0.0001469334,0.0005318084,0.001695375,0.01040044,0.05555608,0.922024],"study_design_scores_gemma":[0.00001218102,0.00009032587,0.003923206,0.005414815,0.0001732966,0.0006095031,0.0002901738,0.002056253,0.002038768,0.01061038,0.9747175,0.00006359359],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00144509,0.9674495,0.009334491,0.006123257,0.002494124,0.0000428186,0.0002054436,0.0001056023,0.0127997],"genre_scores_gemma":[0.0132802,0.9725318,0.005507994,0.002313259,0.002950185,0.00006102761,0.0003815046,0.00004794705,0.002926048],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004160614,"threshold_uncertainty_score":0.01391864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03472220651972273,"score_gpt":0.3153636486552712,"score_spread":0.2806414421355485,"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."}}