{"id":"W4286517722","doi":"10.18280/ria.360305","title":"An Integrated Single Framework for Text, Image and Voice for Sentiment Mining of Social Media Posts","year":2022,"lang":"en","type":"article","venue":"Revue d intelligence artificielle","topic":"Sentiment Analysis and Opinion Mining","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministry of Electronics and Information technology","keywords":"Computer science; Sentiment analysis; Social media; Image (mathematics); Semantics (computer science); Block (permutation group theory); Negation; Domain (mathematical analysis); Commit; Artificial intelligence; Categorization; Natural language processing; World Wide Web; Database; Programming language","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006919406,0.0001412574,0.0002659746,0.0001671257,0.0004584104,0.0001272015,0.0005576309,0.00004758655,0.00008700405],"category_scores_gemma":[0.0001779964,0.0001496729,0.0001443166,0.0005212325,0.00006914385,0.0002286518,0.0001895009,0.0001044723,0.000004427852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004754597,"about_ca_system_score_gemma":0.00003581541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000605018,"about_ca_topic_score_gemma":0.000004548066,"domain_scores_codex":[0.9984989,0.0000763277,0.00046697,0.0004676181,0.0002050266,0.0002851169],"domain_scores_gemma":[0.9984563,0.0007307237,0.0002550393,0.0003169569,0.0001710345,0.0000699587],"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":[0.0002993858,0.002129702,0.0005146027,0.0002855289,0.0002919117,0.00001057937,0.1242412,0.01366757,0.214546,0.2386961,0.00592769,0.3993898],"study_design_scores_gemma":[0.00009241733,0.000388308,0.00003588653,0.00003407455,0.00003453842,0.000004557966,0.01166027,0.8850138,0.09339233,0.003543907,0.005570501,0.0002294711],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0695595,0.0001529424,0.9288744,0.0005712929,0.0003876316,0.0002978505,0.00003382787,0.00005654718,0.00006599061],"genre_scores_gemma":[0.7770549,0.000005039352,0.2224808,0.00009429862,0.00009808702,0.00008693072,0.00005282728,0.00001573701,0.000111353],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8713462,"threshold_uncertainty_score":0.6103482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04805299952005135,"score_gpt":0.3090902958958592,"score_spread":0.2610372963758079,"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."}}