{"id":"W4311176110","doi":"10.36227/techrxiv.21699203","title":"Aspect Based Sentiment Analysis - Twitter","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Sentiment Analysis and Opinion Mining","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Sentiment analysis; Popularity; Computer science; Categorization; Social media; Service (business); Product (mathematics); Set (abstract data type); Data science; Analytics; World Wide Web; Artificial intelligence; Business; Psychology; Marketing","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":[0.000724633,0.0008083339,0.0004146144,0.001717118,0.0004711546,0.001519547,0.0004560239,0.0004937535,0.006277076],"category_scores_gemma":[0.003007244,0.0002527965,0.0008842726,0.001365947,0.0001716178,0.001874406,0.0008797806,0.0006825898,0.006595668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006448864,"about_ca_system_score_gemma":0.0004156239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003950424,"about_ca_topic_score_gemma":0.006464071,"domain_scores_codex":[0.9992957,0.0001350802,0.00008204552,0.0001392389,0.000280411,0.00006750812],"domain_scores_gemma":[0.9992757,0.0001334454,0.0001078458,0.0000845848,0.0003513444,0.00004716752],"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":[0.0007641971,0.0003997748,0.05138116,0.0007282645,0.0002896728,0.0006172501,0.0008831242,0.01046384,0.04392274,0.007942859,0.239538,0.6430693],"study_design_scores_gemma":[0.0001438231,0.0004367843,0.09060428,0.000249051,0.0001782541,0.0007525162,0.002049979,0.5038719,0.04637355,0.02616859,0.3289688,0.0002025302],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2835695,0.003005792,0.3660759,0.008192756,0.002697981,0.003464876,0.1563646,0.06103218,0.1155964],"genre_scores_gemma":[0.6330909,0.001725512,0.1995292,0.001449747,0.0008996244,0.001541334,0.1226119,0.001856624,0.03729522],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006277076,"threshold_uncertainty_score":0.02099895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03826630628439207,"score_gpt":0.2991238854044829,"score_spread":0.2608575791200908,"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."}}