S&P Global Market Intelligence

80% of the world's data is unstructured*. Unlock the text data from corporate earnings calls for your analysis with Machine Readable Transcripts and Textual Data Analytics from S&P Global Market Intelligence.

Textual Data Analytics

Sentiment scores and behavioral metrics delivered intra-day derived from historical earnings call transcripts of 10,600+ active companies dating back to 2004
Leverages Natural Language Processing (NLP) technology to provide 39 sentiment and behavioral-based metrics for calls both in aggregate and in various segments
Data available for all historical and current companies that host earnings call events

Value to You

Helps you to quantify qualitative data, automate NLP earnings analysis, benchmark your own sentiment scoring, and create robust earnings call analysis for a variety of investment and investor relations work flows.

Enables you to answer questions like:

Was the news revealed on the call positive or negative, and to what degree?
How certain was the corporate outlook?
Were specific risks such as litigation highlighted?
How transparent and specific was management during the call?
How did the attitudes of analysts differ from management?

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Textual Data Analytics

Value to You

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