S&P 500 SEC Filings Language & Sentiment Dataset
NLP-scored 10-K/10-Qs with topic sentiment, risk change, hedging/certainty, and readability.
Overview
The S&P 500 SEC Filings Language & Sentiment Dataset provides structured intelligence from SEC 10-K and 10-Q filings, transforming dense corporate disclosures into machine-readable insights. Built using a FinancialBERT-style model and a decade of filings, the dataset compacts narrative sections, classifies sentiment across key business topics, and calculates risk deltas by comparing current disclosures to prior filings.
This enables investors, analysts, and risk managers to systematically benchmark disclosure tone, readability, and novelty across the largest U.S. companies.
Insights Delivered
The dataset goes beyond raw text to deliver:
Topic sentiment – Scores across financial performance, risk/market, controls, legal, and ESG for every filing.
Comparative deltas – Change measures vs. prior filings, including novelty, risk shifts, and percent change in disclosures.
Readability – Flesch-style readability metrics to highlight dense or opaque sections.
Hedging & certainty – Ratios that quantify management’s confidence or caution in disclosure language.
Legal mentions – Frequency and context of legal references within filings.
Structured metadata – Tickers, form type, fiscal year/quarter, and filing dates, enabling alignment with financial events.
How to Use
Benchmark sentiment – Compare companies or sectors on disclosure tone across financial, risk, and ESG dimensions.
Track changes – Detect shifts in risk language, governance, or legal references across quarters and years.
Screen filings – Flag companies with unusually complex or low-readability disclosures.
Integrate into models – Use sentiment and readability scores as features in equity research, risk forecasting, or credit analysis.
Use Cases
Investors & Analysts
Integrate disclosure sentiment into valuation and risk models.
Detect early signals of volatility via changes in management tone.
Benchmark peer groups on ESG and risk communication.
Risk Managers & Insurers
Incorporate hedging ratios and legal mentions into actuarial or underwriting frameworks.
Monitor disclosure opacity as a proxy for governance risk.
Consultancies & Advisory Firms
Accelerate diligence by providing structured risk assessments.
Benchmark client companies against sector disclosure norms.
Corporate Strategy & IR Teams
Benchmark your own filings against peers.
Identify readability or sentiment gaps to refine investor communication strategy.
Why It Matters
SEC filings remain one of the richest sources of corporate intelligence — yet their narrative complexity makes them slow and costly to analyse. This dataset converts unstructured text into quantifiable sentiment and risk indicators, enabling finance, risk, and strategy professionals to act faster and with greater confidence.
By combining NLP with historical filings, the dataset reveals disclosure tone, complexity, and change over time — offering a structured lens on how Fortune 500 companies communicate their risks, performance, and outlook.
