Natural Language Processing:
Feature Engineering in the
Context of Stock Investing

Join us as we launch Insights: A Webinar Series presented by the Quantamental Research Group. This series will grant you direct access to the team behind our Quantamental Research as they share actionable intelligence on how to make the most of S&P Global data available via Xpressfeed™.

The first webinar of the series, Natural Language Processing: Feature Engineering in the Context of Stock Investing, will discuss:

• How unstructured data is largely underexplored in equity investing due to its higher costs. As a result, the information content remains largely untapped and offers an investment edge for investors.
• How to apply Natural Language Processing (NLP) using domain knowledge to capture differentiated alpha from machine readable transcripts.
• An application of NLP in the context of systematic equity investing by introducing new stock selection ideas in the areas of I) Topic Identification II) Call Transparency and III) Call Sentiment using more intricate yet intuitive NLP techniques and features.
• How these new signals complement the existing suite of signals in Textual Data Analytics (TDA), an off-the-shelf NLP solution for both quantitative and fundamental analysts.