{"id":"W2949998441","doi":"10.48550/arxiv.cs/0212032","title":"Thumbs Up or Thumbs Down? Semantic Orientation Applied to Unsupervised Classification of Reviews","year":2002,"lang":"en","type":"preprint","venue":"ArXiv.org","topic":"Sentiment Analysis and Opinion Mining","field":"Computer Science","cited_by":1585,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Phrase; Orientation (vector space); Natural language processing; Word (group theory); Computer science; Artificial intelligence; Linguistics; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1540121900601793,"score_gpt":0.3315217737850789,"score_spread":0.1775095837248996,"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."}}