{"id":"W2406594196","doi":"10.5121/csit.2016.60616","title":"A Text Mining Research Based on LDA Topic Modelling","year":2016,"lang":"en","type":"article","venue":"","topic":"Computational and Text Analysis Methods","field":"Social Sciences","cited_by":174,"is_retracted":false,"has_abstract":true,"ca_institutions":"Acadia University","funders":"","keywords":"Computer science; Topic model; Natural language processing; Artificial intelligence; Information retrieval","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":[0.003735346,0.001265021,0.001440599,0.007565933,0.001369848,0.003936142,0.001535406,0.001381179,0.001871652],"category_scores_gemma":[0.01092167,0.0006263517,0.002077804,0.01015437,0.001001733,0.006663283,0.001218205,0.002012996,0.002445176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001099215,"about_ca_system_score_gemma":0.00132101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002475651,"about_ca_topic_score_gemma":0.001864415,"domain_scores_codex":[0.9968035,0.001175576,0.0002147347,0.0009044542,0.0007817782,0.0001199813],"domain_scores_gemma":[0.9944542,0.003498274,0.0003148789,0.0005867136,0.001032457,0.0001135189],"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":[0.0002614462,0.0004134879,0.01090494,0.001860013,0.0004859987,0.0003331419,0.001796459,0.02122093,0.009991318,0.06975954,0.02095594,0.8620168],"study_design_scores_gemma":[0.00007406251,0.0003347021,0.009266604,0.0005778982,0.0004038217,0.001360536,0.001575888,0.724333,0.01511658,0.1362688,0.1104195,0.0002686492],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01472545,0.008525891,0.9659724,0.002081823,0.0005587631,0.00025028,0.0009532176,0.001378529,0.005553575],"genre_scores_gemma":[0.3325682,0.01866843,0.6264296,0.001004752,0.00267263,0.001128232,0.003934827,0.0005970519,0.01299623],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007565933,"threshold_uncertainty_score":0.01975465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3539824256636802,"score_gpt":0.5065979207347818,"score_spread":0.1526154950711016,"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."}}