Today we are pleased to announce a new partnership with Finch Computing that offers sentiment analysis to content consumed by Bitvore customers. The partnership with Finch give Bitvore customer access to entity-level sentiment analysis in either their proprietary content or Bitvore’s AI-curated information used across the financial markets.
Finch Computing, makers of the real-time text analytics solution Finch for Text® can be called from inside Bitvore analysis processes when sentiment scoring is needed in the intelligence results. Via Finch, Bitvore customers now have easy access to entity-level sentiment, as well as document and sentence-level sentiment, on companies mentioned in their tagged content in Bitvore.
The Bitvore continuous analysis platform uses AI and machine learning techniques to analyze nearly 400,000 pieces of unstructured data each day from over 80,000 difference sources. The analyses extracts a precise set of entities, measures and enhancements needed to identify importing market changes needed by our subscribers. Now, customer who want to add sentiment analysis can choose from several high performance options powered by Finch.
“We’re glad to be partnering with Bitvore to offer entity sentiment to their customers,” Finch Computing CTO Scott Lightner said. “With this new offering, Bitvore’s customers can now understand the precise sentiment associated with the intelligence gathered about a company or asset – either per mention, by the sentence or per document, or in the aggregate of an entire dataset.”
Finch for Text performs accurately and quickly, and at huge scale. Out of the box, Finch for Text’s models are trained on news, however customizations for other content types – like earnings call transcripts, email traffic or dark web messages – have been easily accommodated for customers of Bitvore.
“Our customers are going to find tremendous value in the capabilities Finch brings to the table.” Curie continued. “We’re looking forward to a successful and rewarding partnership with Finch Computing and Finch for Text”