{"id":"W4311175910","doi":"10.36227/techrxiv.21699203.v1","title":"Aspect Based Sentiment Analysis - Twitter","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Sentiment Analysis and Opinion Mining","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Sentiment analysis; Popularity; Computer science; Categorization; Social media; Service (business); Product (mathematics); Data science; Set (abstract data type); 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":[0.0005989062,0.0007605394,0.0004068974,0.001998003,0.000470009,0.001393376,0.0003365907,0.0003731714,0.005566189],"category_scores_gemma":[0.002420593,0.0001987172,0.0008147788,0.00153267,0.0001503166,0.001384213,0.0007306398,0.0005532826,0.005439732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005310461,"about_ca_system_score_gemma":0.0004271206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002936794,"about_ca_topic_score_gemma":0.004622071,"domain_scores_codex":[0.9993217,0.0001031449,0.00007793745,0.0001273501,0.0002874775,0.00008245838],"domain_scores_gemma":[0.999382,0.0000954148,0.0001092483,0.00005211916,0.0003229534,0.00003820003],"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":[0.001096638,0.0004387571,0.08046616,0.001020687,0.0003605299,0.0008954051,0.001509042,0.009363213,0.06968363,0.008822308,0.1719977,0.654346],"study_design_scores_gemma":[0.0001662772,0.0005767869,0.1784816,0.0002957486,0.0002672103,0.001182951,0.003744924,0.4031377,0.0607128,0.02622777,0.324973,0.0002332375],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3960077,0.002451302,0.3028996,0.004082847,0.00179869,0.003588066,0.1310967,0.03737693,0.1206981],"genre_scores_gemma":[0.7140298,0.001359736,0.1560199,0.0007904663,0.0006632789,0.001767302,0.09269807,0.001217469,0.0314541],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005566189,"threshold_uncertainty_score":0.01862073,"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."}}