was successfully added to your cart.

Text Classification into a Hierarchical Market Taxonomy using Spark NLP at Bitvore

In recent years traditional factors of financial markets, for instance, growth vs. value, market capitalization, credit rating, stock price volatility, have become less predictive, requiring investors to explore new data sources such as news, images, social networks content etc. Most of this content is unstructured and needs to be first converted into structured data to be used for analysis. As an alternative to creating these systems themselves, financial firms are turning towards companies that specialize in this field. Bitvore platform is set up to handle the task of systematical scraping the data from the different sources. After, this data getting to link to the key factors and topics with semantic intelligence, that can be delivered for use in financial trading algorithms.The goal of the current project is to build an instrument, which classifies the companies into different market segments in which they operate.

About Bitvore

Bitvore provides unprecedented business insights from unstructured data. Our products are deployed in over seventy of the world’s largest financial institutions, allowing them to make faster and more effective decisions so they outperform the competition.

Their flagship product, Bitvore Cellenus is a groundbreaking AI-powered platform that delivers leading indicators of business performance for companies, industries, markets and municipal obligors. Bitvore Cellenus ingests massive amounts of unstructured data (including news, press releases, SEC filings/proxy statements, earnings call transcripts and more) and uses advanced NLP and machine learning to provide material events, trended sentiment, growth and risk scoring, as well as comparative/predictive analytics to drive better business outcomes.

Consumable through file downloads, a comprehensive API and research user interfaces, Bitvore Cellenus provides customers with the “crystal ball” needed to identify emerging risk and opportunity.

ESG Document Classification

There is an immense amount of unstructured data generated every day that can affect companies and their position in the market. As...