{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002123133,0.00005579501,0.00006008038,0.00006553586,0.00006595298,0.00005578981,0.0001966659,0.00001926836,0.0002500354],"category_scores_gemma":[0.000005521417,0.00004551579,0.00004640495,0.0002833647,0.00000758183,0.0004886694,0.00008177791,0.00002889677,0.0006234923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002246165,"about_ca_system_score_gemma":0.000007063883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004180104,"about_ca_topic_score_gemma":2.734291e-7,"domain_scores_codex":[0.9993365,0.00002428881,0.0001272808,0.0001370293,0.0001905917,0.0001843271],"domain_scores_gemma":[0.9995393,0.00001694377,0.00004607304,0.0002887822,0.00002969062,0.00007919674],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001507486,0.0002179515,0.06295013,0.000002580839,0.00005166942,4.099779e-7,0.0009196357,0.00000816226,0.005057626,0.8844802,0.01739002,0.02892005],"study_design_scores_gemma":[0.0006821224,0.00004863692,0.194302,0.00001423809,0.00003778318,0.000006846134,0.0005904641,0.3884118,0.03264818,0.0003471946,0.3823846,0.0005261177],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0281372,0.0001081896,0.9365171,0.0008953955,0.0006988585,0.00005864602,1.254975e-7,0.0001452151,0.03343934],"genre_scores_gemma":[0.9593191,0.000006186656,0.03757373,0.0002468815,0.00009857737,0.000004647362,0.00000577153,0.000002657564,0.002742455],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9311819,"threshold_uncertainty_score":0.801394,"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."}}