{"id":"W4324137328","doi":"10.1109/icssit55814.2023.10060993","title":"Multilingual Sentiment Analysis using Deep-Learning Architectures","year":2023,"lang":"en","type":"article","venue":"","topic":"Sentiment Analysis and Opinion Mining","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"","keywords":"Sentiment analysis; Automatic summarization; Computer science; Social media; Artificial intelligence; Machine translation; Python (programming language); Natural language processing; Mindset; World Wide Web; Data 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":[0.0004350448,0.0001333889,0.000226412,0.0009263131,0.0002485982,0.0002312983,0.0004340936,0.00003581482,0.0001862577],"category_scores_gemma":[0.0000330613,0.0001143267,0.0002986217,0.003666859,0.00001851851,0.0000923818,0.0003309741,0.0001139849,0.0001501671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002282206,"about_ca_system_score_gemma":0.00001513425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005210621,"about_ca_topic_score_gemma":0.00001848938,"domain_scores_codex":[0.9984818,0.00009286162,0.0002593632,0.0004383777,0.0003900065,0.0003375815],"domain_scores_gemma":[0.9993151,0.0001106444,0.00009239245,0.0003451419,0.00004724767,0.0000894919],"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":[0.000002765899,0.00003948938,0.0672411,0.000005732569,0.001340394,0.00003807801,0.003397746,0.8387234,0.00317473,0.001106167,0.00007967326,0.08485077],"study_design_scores_gemma":[0.0001127776,0.00001080824,0.008719286,0.000003414644,0.0001323902,0.000001382946,0.0002968748,0.9859952,0.004111269,0.00008137698,0.0003852663,0.0001499736],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6406416,0.00004677826,0.3579012,0.00009549741,0.0001226234,0.00004399848,1.682879e-7,0.0004078802,0.0007401828],"genre_scores_gemma":[0.9574401,0.000005059715,0.0408523,0.00008410468,0.00006347615,0.000002278983,0.000009144975,0.000007546334,0.001535951],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3170489,"threshold_uncertainty_score":0.4662107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02908713870469018,"score_gpt":0.3125370148480503,"score_spread":0.2834498761433601,"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."}}