{"id":"W2108850603","doi":"10.5555/2457524.2457702","title":"Verb Oriented Sentiment Classification","year":2012,"lang":"en","type":"article","venue":"","topic":"Sentiment Analysis and Opinion Mining","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Sentiment analysis; Computer science; Natural language processing; Verb; Sentence; Artificial intelligence; Noun; Feature (linguistics); Computational linguistics; Linguistics","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":[0.001189675,0.0008900795,0.0006680777,0.003199031,0.0006905962,0.001761982,0.0005858961,0.000670639,0.007374603],"category_scores_gemma":[0.002947744,0.000156632,0.0009717275,0.002242868,0.0002335468,0.001128566,0.0005564043,0.0006371244,0.004780136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005594675,"about_ca_system_score_gemma":0.0005555069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000978765,"about_ca_topic_score_gemma":0.001111781,"domain_scores_codex":[0.9989322,0.0002109055,0.0001270532,0.0001706633,0.0004464417,0.0001127547],"domain_scores_gemma":[0.9987244,0.000285783,0.0001461833,0.00008030226,0.0007144779,0.00004888019],"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":[0.0003955486,0.0005565436,0.01307904,0.0006439879,0.000172722,0.0002920659,0.0003375083,0.002075383,0.04398509,0.007055201,0.04156186,0.889845],"study_design_scores_gemma":[0.0003638046,0.001440491,0.1003217,0.0007008589,0.0007657116,0.001938017,0.002348452,0.4773421,0.09052426,0.05384275,0.2701755,0.0002363838],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2709379,0.003770588,0.5985625,0.001893738,0.002804795,0.005573198,0.01889082,0.006474632,0.09109188],"genre_scores_gemma":[0.5608195,0.002185475,0.3737392,0.0008691414,0.001166954,0.002297635,0.03099283,0.0003536735,0.02757554],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007374603,"threshold_uncertainty_score":0.02467054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03731191019271947,"score_gpt":0.2842684362010701,"score_spread":0.2469565260083506,"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."}}