The Complexity of Assessing Sentiment in Text: Owlin's Approach

Assessing sentiment and risk in text is a complex task that requires a fine-grained approach. In this whitepaper, we explore Owlin’s advanced sentiment analysis framework, how it distinguishes between sentiment and risk, and why its customizable and transparent technology offers a competitive edge. In this whitepaper, we discuss:
  • How Owlin’s multi-labeling approach enables precise and customized risk classification across themes and taxonomies.
  • Why flexibility and customization in risk signals help clients tailor risk management to their unique needs and values.
  • The importance of transparency in sentiment analysis and how Owlin’s explainable model outperforms black-box competitors.
  • How Owlin’s advanced technology improves risk monitoring for asset managers, payment providers, and banks across diverse portfolios.

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