{"id":"W2596174778","doi":"10.1109/bigdataservice.2017.11","title":"Improved Sentiment Classification by Multi-Modal Fusion","year":2017,"lang":"en","type":"article","venue":"","topic":"Sentiment Analysis and Opinion Mining","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Lakehead University","funders":"","keywords":"Computer science; Sentiment analysis; Modal; Focus (optics); Task (project management); Microblogging; Social media; Metric (unit); Artificial intelligence; Fusion; Natural language processing; Machine learning; Information fusion; Information retrieval; World Wide Web; Linguistics; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.0002069645,0.00008742139,0.00009619542,0.00004304743,0.000478849,0.0006070694,0.0008216102,0.00003876995,0.00009400893],"category_scores_gemma":[0.00001547044,0.00007158548,0.00007015459,0.00004637939,0.00002445282,0.0005224179,0.000293373,0.00004784618,0.0001145407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000221538,"about_ca_system_score_gemma":0.00001322646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007787323,"about_ca_topic_score_gemma":0.000008270858,"domain_scores_codex":[0.9991459,0.00001939449,0.0001688084,0.0003294938,0.0001768406,0.0001595635],"domain_scores_gemma":[0.9988248,0.0000113977,0.0001782518,0.0008708496,0.00004762292,0.00006710946],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000007386777,0.0004602075,0.01717684,0.000007654767,0.00009338589,0.000002617374,0.0004957998,0.000008370028,0.7023211,0.02293828,0.03196064,0.2245278],"study_design_scores_gemma":[0.0004286839,0.00001907216,0.01800833,0.000004697249,0.000006246283,4.737599e-7,0.00003549002,0.9522924,0.02344519,0.00003897905,0.005591017,0.0001294405],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02658928,0.00004318527,0.9649233,0.002860156,0.0004405414,0.0001149992,8.706762e-7,0.0001003194,0.004927309],"genre_scores_gemma":[0.9342597,0.00001956426,0.05583636,0.0001647963,0.00004465322,0.000007847916,0.00001119311,0.00000466704,0.009651275],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.952284,"threshold_uncertainty_score":0.5853984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04390466990785003,"score_gpt":0.3092105111693825,"score_spread":0.2653058412615324,"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."}}