Domain-Aware Preprocessing Improves Financial Headline Sentiment Classification Across TF-IDF and Transformer Architectures
This paper investigates the interaction between text preprocessing strategies and feature representation in financial headline sentiment classification. Using the Financial News Headline dataset comprising 10,686 entity-annotated financial news headlines, we evaluate three preprocessing pipelines of increasing domain s...