{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004609187,0.00060139,0.002879825,0.001380576,0.0003268803,0.0005850492,0.003964109,0.0001132842,0.00002285659],"category_scores_gemma":[0.0004104978,0.0005506879,0.001445078,0.002071048,0.00003925172,0.0002346755,0.002808238,0.0003001876,0.0001254042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001275448,"about_ca_system_score_gemma":0.0001951207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002588518,"about_ca_topic_score_gemma":0.00002670837,"domain_scores_codex":[0.993748,0.001851633,0.001680857,0.00136271,0.0008291127,0.0005276894],"domain_scores_gemma":[0.9927397,0.00110966,0.002403218,0.003281899,0.000250911,0.0002145994],"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":[4.492694e-7,0.00005990473,0.001128459,0.0004578027,0.001206594,0.000002005107,0.0003745977,0.000486761,2.688477e-7,0.00001087281,0.0003384638,0.9959338],"study_design_scores_gemma":[0.0004615148,0.0001332461,0.03590178,0.02250685,0.003732218,0.00000293763,0.00002090222,0.08395083,0.00001405103,0.0001333542,0.8510615,0.002080835],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003433039,0.6487572,0.3486508,0.00002387142,0.001788395,0.0002927362,0.00003939447,0.00007473093,0.00002959845],"genre_scores_gemma":[0.001458892,0.9606849,0.03649715,0.00001398349,0.00045248,0.00001020465,0.0007388876,0.00004934083,0.00009415529],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.993853,"threshold_uncertainty_score":0.9996945,"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."}}