Dow Jones News Analytics empowers algorithmic traders and quantitative analysts to enhance their quantitative models and trading strategies by transforming Dow Jones news and archives into numerical data. This rich collection of news-derived data, created by RavenPack's cutting-edge computational linguistics and analytics platform, delivers news as data, allowing users to easily and quantitatively analyze news events and their correlation with financial instruments.

Unique Synergy - Dow Jones News and RavenPack Advanced Analysis Capabilities

• Dow Jones News and Archives - More than eight years of historical news, including Dow Jones Newswires, all editions of The Wall Street Journal and Barron's, and metadata for over 27,000 company symbols and 2,000-plus news categories.
• Ravenpack Advanced Analysis Capabilities - Advanced news analytics and other quantitative data based on RavenPack's proprietary computational linguistics technology.

Dow Jones News Analytics is powered by RavenPack's proprietary computational linguistics and artificial intelligence technology. This innovative tool transforms news into enhanced news data such as sentiment, novelty and relevance.

• Sentiment analysis of the news leverages two classification techniques - Expert Consensus and Key Word/Phrase Identification, and identifies whether a news story is positive, negative or neutral.
• Novelty determines whether a news item is appearing for the first time or is an update to a previously published story.
• Relevance provides a numeric indication of the extent to which a story is about a particular company, enabling users to focus on key stories and avoid those in which a company is merely mentioned.