{"paper":{"title":"Beyond Sentiment Classification: A Generative Framework for Emotion Intensity Evaluation in Text","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["econ.GN","q-fin.EC","q-fin.GN"],"primary_cat":"cs.CL","authors_text":"Dasol Kim, Francesco A. Fabozzi, William N. Goetzmann","submitted_at":"2026-05-15T20:32:29Z","abstract_excerpt":"We introduce a novel approach to emotion modeling that shifts the focus from\n  identification to evaluation, addressing the limitations of discrete classification in\n  applied domains such as finance. By constructing a dataset of emotional intensity\n  scores and fine-tuning open-weight generative language models to output continuous\n  values from 0-100, we demonstrate a more expressive, generalizable framework for\n  sentiment and emotion analysis. Our findings not only outperform classification\n  baselines but also reveal surprising generalization capabilities and transfer effects\n  to related"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.16613","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2605.16613/integrity.json","findings":[],"available":true,"detectors_run":[{"name":"claim_evidence","ran_at":"2026-05-19T19:21:56.786219Z","status":"completed","version":"1.0.0","findings_count":0},{"name":"ai_meta_artifact","ran_at":"2026-05-19T18:33:26.592681Z","status":"skipped","version":"1.0.0","findings_count":0}],"snapshot_sha256":"9efbe2091f0b10bd6100cf578cbae28a39cbf0c9edf568ad921c3df29bc87eb8"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"}