Our natural language processing engine performs NLU based entity resolution, relationship extraction, event identification from millions of textual data points daily and transforms them into a structured formatenriched with actionable signals such as saliency, sentiment, risks, etc.
Built specifically for the capital market, our NER and NEL models are trained and optimized in a way most suitable for investors and are enhanced via knowledge-based technologies continuously expanding through machine-learned and self-procured data.
Built specifically for the capital market, our NER and NEL models are trained and optimized in a way most suitable for investors and are enhanced via knowledge-based technologies continuously expanding through machine-learned and self-procured data.
