{"id":"W4361732754","doi":"10.1109/netcit57419.2022.00026","title":"Deep Learning Approaches in Sentiment Analysis","year":2022,"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 British Columbia","funders":"","keywords":"Sentiment analysis; Microblogging; Computer science; Social media; Data science; Public opinion; Event (particle physics); Product (mathematics); Cover (algebra); Tracking (education); Information retrieval; Artificial intelligence; World Wide Web; Psychology; Political 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001510716,0.001138643,0.00092866,0.001472006,0.0004303033,0.001668691,0.001185889,0.0009812126,0.003462295],"category_scores_gemma":[0.002994592,0.0004569246,0.000952733,0.001669686,0.0005591697,0.001716866,0.001255791,0.002208288,0.00207362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000866577,"about_ca_system_score_gemma":0.0008241184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004203304,"about_ca_topic_score_gemma":0.005019485,"domain_scores_codex":[0.9994246,0.0001817812,0.00004786399,0.000102837,0.000169809,0.00007318105],"domain_scores_gemma":[0.9991813,0.0003738693,0.00007298435,0.00006453124,0.0002719648,0.00003532835],"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":[0.00009751246,0.000169782,0.00293367,0.0006674688,0.0003741368,0.0001350141,0.0002716764,0.1476858,0.004182326,0.07995553,0.02956571,0.7339613],"study_design_scores_gemma":[0.00001243706,0.00003125017,0.0007587197,0.00009178151,0.00004030554,0.0000301716,0.00005418441,0.894066,0.001004037,0.0914635,0.01243207,0.00001554976],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.009850658,0.01209882,0.9630304,0.002401524,0.0004648996,0.00008354161,0.0005240245,0.0007188995,0.0108272],"genre_scores_gemma":[0.4964031,0.031057,0.433728,0.001982501,0.002634553,0.0005453948,0.00348225,0.0004292078,0.02973807],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.004203304,"threshold_uncertainty_score":0.01158249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.041279857813539,"score_gpt":0.2503870853124504,"score_spread":0.2091072274989114,"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."}}