{"id":"W7144341289","doi":"10.71465/ajml3046","title":"Enhancing Social Media Analytics with Machine Learning Techniques","year":2024,"lang":"","type":"article","venue":"American Journal of Machine Learning","topic":"Sentiment Analysis and Opinion Mining","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Social media; Social media analytics; Sentiment analysis; Analytics; Predictive analytics; Supervised learning; Big data","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":[0.003202459,0.001510794,0.0007756401,0.003108064,0.0004570276,0.002358623,0.001075971,0.0009109717,0.001830658],"category_scores_gemma":[0.01305241,0.0004353837,0.0008198016,0.002060391,0.0007682081,0.005028216,0.002348804,0.002155171,0.001921024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006643336,"about_ca_system_score_gemma":0.0009034937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001796273,"about_ca_topic_score_gemma":0.002832926,"domain_scores_codex":[0.9977701,0.0009707841,0.0001077602,0.0002668231,0.0007869976,0.00009759047],"domain_scores_gemma":[0.9899516,0.007077516,0.0005509097,0.001045563,0.001252945,0.0001215607],"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":[0.0001448808,0.001056652,0.01180742,0.0007037173,0.0003255019,0.0001937269,0.000543829,0.1111982,0.02121048,0.02750845,0.01525091,0.8100561],"study_design_scores_gemma":[0.00001379722,0.00006254596,0.001270659,0.00006468604,0.00003363346,0.00004895039,0.0001393449,0.9242162,0.008976357,0.05661954,0.008528291,0.00002600633],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02103006,0.001140243,0.9628689,0.003287184,0.0001549642,0.0002072994,0.0006748068,0.003889926,0.006746626],"genre_scores_gemma":[0.3889806,0.002422645,0.6018645,0.0009206123,0.0006987498,0.0002604081,0.001752957,0.00033733,0.002762248],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003202459,"threshold_uncertainty_score":0.01693642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01182525944512738,"score_gpt":0.2739776808386315,"score_spread":0.2621524213935041,"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."}}