Taxonomy for Search

“SPGI-CI required a comprehensive taxonomy for search enhancing the accessibility and usability of financial data related to bids, offers, and trades. Our goal was to systematically organize complex financial datasets primarily consisting of tweets and heard insights that reflect market trends, making it easier for clients to visualize and analyze critical market information. Our proposed new restructured taxonomy enables automated data segmentation and seamless workflow integration, optimizing client access to relevant information.

Our implementation combines AWS Sagemaker and Spacy models to automate training data generation, accelerating market entry while reducing manual annotation costs. The enhanced taxonomy structure enables precise market differentiation, strengthens analytical capabilities, and increases benchmark transparency for clients. This systematic approach represents a strategic investment in delivering superior financial insights.”

Srinivas Darbha

S&P Global