{"id":"W4387914178","doi":"10.1109/codit58514.2023.10284166","title":"Sentiment Analysis Using Smoothed Probabilistic-Based Models","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":"Concordia University","funders":"","keywords":"Sentiment analysis; Computer science; Probabilistic logic; Cluster analysis; Smoothing; Artificial intelligence; Latent Dirichlet allocation; Dirichlet distribution; Topic model; Statistical model; Machine learning; Hierarchical Dirichlet process; Natural language processing; Data mining; Mathematics","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":[0.00044721,0.0001280952,0.0002411126,0.0007112913,0.000125642,0.0001986697,0.0004785806,0.00003458144,0.0001402484],"category_scores_gemma":[0.00001029475,0.0001083627,0.000288816,0.003760677,0.00001986676,0.0002756217,0.0001668094,0.00004268392,0.0001109577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004304244,"about_ca_system_score_gemma":0.00004610169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004056935,"about_ca_topic_score_gemma":0.000009243334,"domain_scores_codex":[0.998494,0.00006007155,0.0002808352,0.0004520631,0.0004173199,0.0002957065],"domain_scores_gemma":[0.9990752,0.00007372338,0.00008632841,0.0006025213,0.00007576052,0.00008649942],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001555594,0.0000495201,0.001100138,0.000005112351,0.0003897223,0.000007293337,0.0002586072,0.9641722,0.0004747302,0.03117133,0.0003439233,0.002025898],"study_design_scores_gemma":[0.0001497623,0.000008949075,0.0005403503,0.000004728653,0.0001757918,1.75797e-7,0.00004040292,0.9953534,0.0008494596,0.002641285,0.00008891914,0.0001467492],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05661247,0.00002154327,0.9406555,0.0003464915,0.0001015239,0.00009761283,8.850309e-7,0.0003737878,0.001790149],"genre_scores_gemma":[0.9071072,0.000002794233,0.09141674,0.0002576869,0.0000302378,0.000009565763,0.00001734016,0.000009029591,0.001149426],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8504947,"threshold_uncertainty_score":0.4418901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07229150159583578,"score_gpt":0.3028421812544118,"score_spread":0.230550679658576,"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."}}