NLP in Stock Sentiment Trading: Insights and Critiques
NLP in Stock Sentiment Trading: Insights and Critiques
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This paper presents a comprehensive overview of sentiment analysis in finance, detailing the agenda for review and critique, alongside the study's objectives and data sources. It explores various sentiment models, including LM, BERT, and FinBERT, while discussing their fine-tuning and performance metrics. The critique section addresses practical considerations such as tradability and risk factors, highlighting historical validation challenges and proposing future research directions. Overall,...