At the Neudata summer summit, Act Analytics announced a new data product released to support the growth in sustainable investing and appetite for quality, independent and timely ESG data. ACT Events uses the natural language processing (NLP) behind Act ESG Scores, to intelligently identify clusters of ESG activity in a particular period of time, on a particular ESG topic, representing meaningful ESG events as covered by news journalists.
Act Analytics uses Natural Language Processing (NLP) to generate news-driven ESG sentiment scores for stocks that evolve in real time, as new information becomes available. Stocks are rated on the basis of a user-defined universe of ESG themes. The scores are generated from analysis of “trusted, independent” news about a company.
The NLP algorithms diagnose whether news is positive or negative and adjust the scores accordingly. In particular, there is the Act Fast Score that reacts quickly to news and the standard Act Score that highlights longer-term trends. The event scores uses our intelligent clustering algorithm to help users to efficiently monitor risk, enhance reporting and identify issues for engagement.
With the introduction of Event scores, users will be able to quickly see the size and nature of recent ESG events, clustered around a central representative article. Clients can customize and filter events by the UN SDG (Sustainable Development Goals) inspired categories, for example, quickly identify events in a topic like diversity or pollution. ACT Events is initially available by API and is currently being integrated into the Act Explorer web application.
Zachary Dan, CEO of Act Analytics, said in a statement: “The market needs a data product that can save users time in easily identifying clusters of common ESG themed articles on a stock, in support of their analysis and engagement.”
