Analyzing textual data sourced from transcripts, articles, and documents can prove time-consuming and costly. With our NLP-ready datasets, you can skip the entire data management process and dive directly into analysis. Moreover, benefit from comprehensive metadata tagging and seamless integration with other datasets like Financials and Estimates to enrich your analysis and deliver critical insights.
Machine Readable Earnings Call Transcripts
The Machine Readable Transcripts dataset aggregates data from earnings calls delivered in a machine-readable format for NLP applications with metadata tagging.
Machine Readable Filings
Leverage Global Machine Readable Filings to perform NLP on an entity's filings over time. Use the database to monitor strategic initiatives, justification of earnings, M&A plans, tactical execution, and much more.
Machine Readable Broker Reports
Machine Readable Broker Research unlocks the value within equity research reports by cleaning and parsing reports to deliver structured text from partner brokers for NLP applications
Textual Data Analytics: Sentiment Scores & Behavioral Metrics
The Textual Data Analytics (TDA) dataset takes earnings calls transcripts one step further with sentiment and behavioral-based metrics rigorously researched and tested against frequently used quantitative strategies.