{"id":"W4307423220","doi":"10.5539/mas.v16n4p29","title":"An Online Machine Learning Approach to Sentiment Analysis in Social Media","year":2022,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Sentiment Analysis and Opinion Mining","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Sentiment analysis; Machine learning; Task (project management); Artificial intelligence; Fraction (chemistry); Online learning; Social media; Online and offline; Range (aeronautics); Online machine learning; Offline learning; Semi-supervised learning; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00276981,0.001465852,0.001163902,0.002195816,0.0006549687,0.001529376,0.001726295,0.001190866,0.003317865],"category_scores_gemma":[0.007686782,0.0003529027,0.0008120299,0.001714124,0.0005390319,0.003329927,0.001061015,0.002048506,0.002907889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006867115,"about_ca_system_score_gemma":0.0007375815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002037959,"about_ca_topic_score_gemma":0.002541838,"domain_scores_codex":[0.9984593,0.0006079486,0.00008914845,0.0003692471,0.000375007,0.00009930265],"domain_scores_gemma":[0.9954976,0.002408811,0.0005016034,0.0006329921,0.0008316982,0.0001273193],"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":[0.0005232723,0.00136958,0.01070691,0.0003697007,0.000310102,0.0001695536,0.000263535,0.108299,0.0117967,0.007380832,0.01367006,0.8451408],"study_design_scores_gemma":[0.00001918251,0.0001619192,0.001225782,0.00001880404,0.00002890443,0.00007778583,0.00005181332,0.9831786,0.00334823,0.008771967,0.00309815,0.00001876984],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04294552,0.001120383,0.9458274,0.001080176,0.0003986553,0.0002952125,0.0007753871,0.003057345,0.004499995],"genre_scores_gemma":[0.5892074,0.001016566,0.3996245,0.0006269495,0.0009679979,0.0004998723,0.001544529,0.0003040247,0.00620829],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003317865,"threshold_uncertainty_score":0.01464832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04082865891493982,"score_gpt":0.2797778779990912,"score_spread":0.2389492190841514,"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."}}