{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007203233,0.0001048188,0.000352528,0.0004259053,0.00004289804,0.00006921791,0.0003256536,0.00004640251,0.000005060157],"category_scores_gemma":[0.00001476883,0.00009177022,0.000050082,0.0009696383,0.00003360468,0.0004309888,0.0001946487,0.00006489907,0.000003412977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001825608,"about_ca_system_score_gemma":0.00002389144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004953963,"about_ca_topic_score_gemma":9.951377e-7,"domain_scores_codex":[0.9987037,0.0001337851,0.0005397202,0.0003230435,0.0001400526,0.0001597074],"domain_scores_gemma":[0.9992667,0.00009625522,0.0002097429,0.0002740277,0.0001263635,0.00002694007],"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":[0.000001248536,0.00007869515,0.004099997,0.003267745,0.00004941855,0.000002118618,0.00005158614,0.0002347923,0.00009313809,0.02632438,0.0010064,0.9647905],"study_design_scores_gemma":[0.001425603,0.0003256977,0.0005622213,0.06943336,0.00003414342,0.00003377781,0.0001443961,0.6804091,0.00125529,0.01252958,0.2331685,0.0006783832],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.0004590458,0.3261814,0.6711424,0.0007273347,0.0008591355,0.0001835724,8.694997e-7,0.00003173795,0.0004144934],"genre_scores_gemma":[0.4122619,0.5164585,0.06883969,0.001846193,0.0002523288,0.0001689029,0.00003980016,0.00001465035,0.0001180716],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.9641121,"threshold_uncertainty_score":0.3742281,"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."}}