{"id":"W4389933352","doi":"10.1109/wi-iat59888.2023.00017","title":"Emotion-based Analysis of Reviews using Knowledge Graph","year":2023,"lang":"en","type":"article","venue":"","topic":"Sentiment Analysis and Opinion Mining","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Sentiment analysis; Categorization; Computer science; Perspective (graphical); Natural language processing; Process (computing); Artificial intelligence; Graph; Data science; Theoretical computer science","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":[0.0006255041,0.00007385299,0.0003063852,0.001189208,0.00006237682,0.00004094245,0.0003424341,0.00002221702,0.0001733856],"category_scores_gemma":[0.00002487896,0.0000593406,0.0003907028,0.009396666,0.00001585755,0.0001137698,0.00007461526,0.00002622239,0.00008765698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001034345,"about_ca_system_score_gemma":0.00002393873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002686683,"about_ca_topic_score_gemma":0.00001533007,"domain_scores_codex":[0.9990833,0.00007984137,0.0003316392,0.0002275408,0.0001467829,0.0001308863],"domain_scores_gemma":[0.9992673,0.0000761222,0.0001304945,0.0004153423,0.00007063845,0.00004009238],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000007861945,0.0007710797,0.3263468,0.0002918332,0.005979761,0.00001340614,0.006319629,0.2912943,0.01871982,0.09819487,0.03287476,0.2191858],"study_design_scores_gemma":[0.00006285203,0.000006956316,0.006634842,0.00001725042,0.0002170722,3.446017e-8,0.00001795082,0.9905899,0.0007060974,0.00005997787,0.001614878,0.00007225083],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06402873,0.0005315884,0.9330624,0.0001195526,0.0001554585,0.00007148154,8.054342e-7,0.0001142709,0.001915658],"genre_scores_gemma":[0.9371775,0.000142799,0.06125993,0.0001619569,0.0000395239,0.000004773413,0.0000349005,0.000007198689,0.001171459],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8731487,"threshold_uncertainty_score":0.4514786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1013833139528327,"score_gpt":0.3558536898463045,"score_spread":0.2544703758934718,"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."}}