Bitvore Cellenus For Corporate, Market and Industry

Bitvore Cellenus for Corporate, Market and Industry provides third party risk intelligence data on over 400k+ global public and private companies, markets and industries from a diverse set of unstructured (text) data (over 60K sources news, press releases, SEC filings/proxy statements, earnings call transcripts and more), both public and licensed premium content. Bitvore Cellenus leverages NLP models to identify material company events, trended sentiment, growth and risk scoring, as well as comparative analytics to drive better business outcomes for customers. Bitvore Cellenus also offers clients the ability to get insights into specific markets or industries. ML models are used for aggregation and deduplication, similarity clustering, geolocation tagging, entity tagging (includes companies, markets, security-level IDs, etc.), business material event detection, sentiment analysis models, scoring algorithms and more. This dataset identifies over 100 business material events/topics, with content level sentiment scores which can be reconfigured to customizable entity level sentiment, risk and growth scores. Security identifiers mapped include ISIN, CUSIP, SEDOL, FIGI and Exchange Ticker.

搜集汇总

背景与挑战

背景概述

该数据集提供覆盖40万+全球上市公司和私营公司的第三方风险情报，数据源包括新闻、SEC文件、财报电话会议记录等60K+非结构化文本。通过NLP和ML模型，实现业务事件识别、趋势情感分析、风险与增长评分，并提供市场/行业洞察及可定制的实体级评分，支持ISIN、CUSIP等安全标识符。