{"id":"W2089787183","doi":"10.1109/cse.2014.69","title":"Automatic Twitter Topic Summarization","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced Text Analysis Techniques","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Athabasca University","funders":"","keywords":"Automatic summarization; Computer science; Ranking (information retrieval); Hidden Markov model; Multi-document summarization; Information retrieval; Social media; Bayesian probability; Parametric statistics; Artificial intelligence; Data mining; World Wide Web; Mathematics","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":[0.001247926,0.00192844,0.001302696,0.007953992,0.000955223,0.001748606,0.001111257,0.0008980608,0.005957894],"category_scores_gemma":[0.004985718,0.0004647242,0.00100283,0.004589406,0.0002339533,0.002089978,0.001341001,0.0009868597,0.008056673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004404278,"about_ca_system_score_gemma":0.0008770913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001628636,"about_ca_topic_score_gemma":0.002570741,"domain_scores_codex":[0.9989098,0.0002123896,0.0001049652,0.0002823872,0.0003524575,0.0001380507],"domain_scores_gemma":[0.9973301,0.0008608474,0.0003194497,0.0002515034,0.001119141,0.0001189781],"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":[0.00115304,0.0001830912,0.005190133,0.001506747,0.0002084043,0.0005690762,0.0008170597,0.01064287,0.05919828,0.003933412,0.1276815,0.7889165],"study_design_scores_gemma":[0.0002430852,0.0006435826,0.0251324,0.0003567958,0.0007088151,0.001263255,0.002393504,0.6056522,0.1131485,0.02407121,0.2261769,0.0002097348],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09876165,0.00687929,0.7800479,0.002222856,0.001872656,0.001631409,0.05266687,0.04125255,0.01466477],"genre_scores_gemma":[0.313574,0.003826857,0.5002049,0.0002873676,0.002844376,0.001691344,0.1553861,0.00219845,0.01998658],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007953992,"threshold_uncertainty_score":0.01993114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009246781099650433,"score_gpt":0.2536820745342748,"score_spread":0.2444352934346243,"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."}}