{"id":"W2809595247","doi":"10.5539/mas.v12n7p49","title":"Sentiment Analysis Algorithms through Azure Machine Learning: Analysis and Comparison","year":2018,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Sentiment Analysis and Opinion Mining","field":"Computer Science","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Sentiment analysis; Support vector machine; Cloud computing; Machine learning; Social media; Analytics; Artificial intelligence; Microblogging; Big data; Data analysis; Algorithm; Social media analytics; Data mining; Data science; 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":[0.00295164,0.0007851226,0.0005441995,0.002980163,0.0003987812,0.001620168,0.001199956,0.000779173,0.003252774],"category_scores_gemma":[0.007433167,0.0002401402,0.0007789269,0.00195721,0.0002870234,0.002223605,0.000919026,0.001124824,0.001467456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008510003,"about_ca_system_score_gemma":0.000417379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002421051,"about_ca_topic_score_gemma":0.002267253,"domain_scores_codex":[0.9978612,0.0005613983,0.0002928162,0.0003322345,0.0008336952,0.0001186081],"domain_scores_gemma":[0.9971794,0.001396513,0.000252764,0.0004018843,0.000714934,0.000054648],"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":[0.001575233,0.0006770044,0.01974364,0.0004790232,0.000561696,0.0001576532,0.000465649,0.0671791,0.01848327,0.01062921,0.02196069,0.8580879],"study_design_scores_gemma":[0.00007890807,0.0005733153,0.01495368,0.00006392602,0.00008516445,0.0001415877,0.0002291207,0.943891,0.02342454,0.003994504,0.01251809,0.0000461083],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4833693,0.003385485,0.475106,0.0010412,0.0005238973,0.0005404191,0.004061675,0.01827919,0.01369288],"genre_scores_gemma":[0.5733141,0.00100787,0.4144159,0.000180332,0.00009905317,0.0004875028,0.006536294,0.0004884414,0.003470496],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003252774,"threshold_uncertainty_score":0.01560992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02539098463848287,"score_gpt":0.2969071858505652,"score_spread":0.2715162012120824,"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."}}