{"id":"W2618843390","doi":"10.1145/3057270","title":"Current State of Text Sentiment Analysis from Opinion to Emotion Mining","year":2017,"lang":"en","type":"review","venue":"ACM Computing Surveys","topic":"Sentiment Analysis and Opinion Mining","field":"Computer Science","cited_by":485,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Sentiment analysis; Computer science; Perspective (graphical); Emotion classification; Focus (optics); Data science; Emotion detection; Concept mining; Natural language processing; Artificial intelligence; Web mining; Emotion recognition; World Wide Web","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":[0.003720121,0.001075376,0.001540365,0.004443833,0.0006292531,0.003170929,0.001739252,0.001148357,0.005874215],"category_scores_gemma":[0.01028395,0.0004611436,0.001367462,0.006268319,0.000995111,0.004834578,0.001153019,0.001777782,0.004898807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001005538,"about_ca_system_score_gemma":0.001596213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001709978,"about_ca_topic_score_gemma":0.001356893,"domain_scores_codex":[0.9982947,0.0004969021,0.0001828124,0.0003232069,0.0006135057,0.00008899564],"domain_scores_gemma":[0.9915192,0.005054228,0.0003980843,0.0002910445,0.002602202,0.0001351931],"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":[0.00005445055,0.00005589549,0.0009573728,0.006002518,0.0000817309,0.00004070223,0.0002698145,0.0003162901,0.000889482,0.008227047,0.04321614,0.9398886],"study_design_scores_gemma":[0.00004827234,0.0001238176,0.006502678,0.007208796,0.0003366232,0.0005826642,0.001048864,0.006513797,0.002707596,0.03639426,0.9384437,0.00008898725],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.005580452,0.8879783,0.06028921,0.0106113,0.003140445,0.0003201775,0.0009007183,0.0008013382,0.03037803],"genre_scores_gemma":[0.02997253,0.9082668,0.04219885,0.003565154,0.005561953,0.0004612739,0.001785275,0.0002594577,0.007928682],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005874215,"threshold_uncertainty_score":0.01967412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1454330033349877,"score_gpt":0.4061492283394427,"score_spread":0.2607162250044549,"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."}}