Categoryexternal
MeasureDecision classification
TasksFinancial sentiment classification
DifficultyDepends on the evaluated split and label mapping
Classify financial news sentences as positive, negative, or neutral. FinancialPhraseBank tests whether a model interprets financial context rather than treating every favorable-sounding word as positive.
No model in the catalog has a published FinancialPhraseBank score.The benchmark is defined by Good Debt or Bad Debt: Detecting Semantic Orientations in Economic Texts, but the catalog carries no value for it yet. An absent value is shown as absent here rather than as a zero.
About FinancialPhraseBank
What the benchmark measures and how its value is published, from the source’s own record.
What is FinancialPhraseBank?
FinancialPhraseBank is an external benchmark published by Good Debt or Bad Debt: Detecting Semantic Orientations in Economic Texts. Classify financial news sentences as positive, negative, or neutral. FinancialPhraseBank tests whether a model interprets financial context rather than treating every favorable-sounding word as positive. Its evaluation set is described by the source as financial sentiment classification. The source rates its difficulty as depends on the evaluated split and label mapping.
How is FinancialPhraseBank scored?
Each model's result is published by Good Debt or Bad Debt: Detecting Semantic Orientations in Economic Texts as decision classification. ModelScale prints that value exactly as published, and never converts or rescales it. This page ranks the 0 models that carry a published value, highest value first; a model the source never scored is left out rather than ranked at zero. The source does not state whether a higher value is the better result, so neither does this page.
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