{"id":"W7124705734","doi":"10.1145/3785706.3785731","title":"A Literature Review on Stock Price Prediction by Integrating Social Media Sentiment and Market Indicators Using Deep Learning Approaches","year":2025,"lang":"","type":"article","venue":"","topic":"Stock Market Forecasting Methods","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Deep learning; Sentiment analysis; Robustness (evolution); Social media; Encoder; Stock market; Preprocessor; Stock (firearms)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.02000856,0.0007755709,0.001244045,0.001355484,0.001646666,0.00129454,0.0007707235,0.000596257,0.0009244643],"category_scores_gemma":[0.02972842,0.0006083457,0.0003355499,0.006399691,0.0003765792,0.0006030271,0.0007859528,0.001974953,0.000006423405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004738017,"about_ca_system_score_gemma":0.0002405232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006559396,"about_ca_topic_score_gemma":0.000004815255,"domain_scores_codex":[0.9872764,0.005733022,0.002101602,0.001901456,0.002167583,0.0008199884],"domain_scores_gemma":[0.9879052,0.009563071,0.00134737,0.0005540846,0.0003359539,0.0002943155],"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":[0.0001819624,0.0001516571,0.005896259,0.00123316,0.0001763251,0.000006398816,0.005273315,0.00002373927,0.00008093749,0.0004500041,0.02095607,0.9655702],"study_design_scores_gemma":[0.002872157,0.0006659487,0.02683969,0.06570024,0.001657819,0.0001486007,0.01912357,0.8091369,0.0005201203,0.003115006,0.06788219,0.002337828],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0803507,0.2819911,0.4047408,0.003767087,0.00563652,0.005978513,0.0001667088,0.0005382512,0.2168303],"genre_scores_gemma":[0.5916106,0.0490263,0.3036658,0.005158535,0.002081083,0.0005588448,0.0002286512,0.0003697867,0.04730041],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9632323,"threshold_uncertainty_score":0.9999889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07927092557081374,"score_gpt":0.3637376510389211,"score_spread":0.2844667254681074,"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."}}