Transcripts + Artificial Intelligence
Research Team Harnesses the Power of Natural Language Process (NLP) to Create New Alternative Dataset
Given the growing interest in NLP among data scientists, the S&P Global Market Intelligence Quantamental Research team created this report to demystify many aspects of NLP and provide three illustrations, with accompanying Python code, of how NLP can be used in a unique way to create a new alternative dataset. For this specific work, NLP was used to quantify the sentiment of earnings calls. In the first example, sector-level sentiment trends were generated providing insights around inflection points and accelerations. The other two illustrations are: i) stock-level sentiment changes and forward returns, and ii) language complexity of earnings calls.
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