Provides sentiment scores derived from 10-K and 10-Q company filings and earnings call transcripts |
Additionally captures the occurrence of specific types of language such as "constraining" language, "litigious" language, and "uncertainty" language, as well as readability scores and other lexical metrics |
Uses natural language processing to quantify unstructured text |
Consists of two datasets sold as a bundle: Language Metrics on Company Filings and Language Metrics on Earnings Call Transcripts |
Language Metrics on Company Filings covers the largest 6,000+ US stocks, and Language Metrics on Earnings Call Transcripts covers the largest 4,500+ US stocks |
No survivorship bias: includes active and delisted tickers |
Provides metrics for the most recent report or transcript as well as the delta between the two most recent reports or transcripts |
Provides metrics for the whole document as well as for specific sections:
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Historical data back to 2010 for Company Filings and 2012 for Earnings Call Transcripts |
For more information, see the product factsheets: |
Data history: 2010 - present |
Included datasets:
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Data history: 2010 - present |
Included datasets:
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Last Modified: November 29, 2023
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