LLM

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Sentiment Analysis | Using LLMs to Analyse Narrative Disclosures

This is the third entry in the blog series “Using LLMs to Analyse Narrative Disclosures.” In the previous analysis, we explored how liquidity risk disclosures revealed clear patterns and outliers, offering valuable signals through structured XBRL tagging and LLM-powered summarisation. In this part, we shift focus to sentiment analysis — examining how management frames its […]

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AIAnalyseNarrativeDisclosuresLLM

Topic Analysis and Anomaly Detection | Using LLMs to Analyse Narrative Disclosures

By Revathy Ramanan

This is the second entry in the series “Using LLMs to Analyse Narrative Disclosures.” In the previous piece, we saw how a simple prompt was sufficient to uncover the pattern of audit firms across 900 reports. Because the exact fact — the audit firm code (EDRPOU) — was explicitly tagged, it became easy and reliable to […]

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AILLMXBRL International

Exploring liquidity risk disclosures with LLMs and XBRL

By Editor

This week sees the second entry in our blog series “Using LLMs to Analyse Narrative Disclosures.” This time, XBRL International’s Revathy Ramanan dives into how large language models (LLMs), combined with XBRL tagging, can reveal both common patterns and outliers in how companies discuss liquidity risk.

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ESGLLMXBRL International

When narrative disclosures become data

By Editor

This week, XBRL International’s Revathy Ramanan kicks off a new blog series exploring how Large Language Models (LLMs) can be used to analyse narrative disclosures in structured reports using XBRL data.

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AIAnalyseNarrativeDisclosuresLLM

Using LLMs to Analyse Narrative Disclosures | Overview of disclosure

By Revathy Ramanan

Narratives in disclosures are just as important as numbers—but much harder to analyze. Numbers can be easily fed into a model for comparison or trend analysis. Text, however, is less straightforward. Regulatory disclosures, especially sustainability reports, often contain large volumes of narrative information: policies, strategies, risk explanations, and qualitative context. Traditionally, text analytics has been […]

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AI AnalyticsLLMXBRL reports

Using AI to analyse XBRL reports?

By Editor

If you missed our latest member-exclusive webinar on 20 November, don’t worry: the recording is now available!

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AILLMStructured DataXBRL US

Supercharging AI with structured data

By Editor

Artificial intelligence is very good at producing answers. The problem is, without structured data, it often doesn’t know if those answers are right.

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AIAI+XBRLseriesLLMregtechRegulatory

Steps to a New Reality: Navigating Challenges in AI-Enhanced XBRL Analysis

By Editor

This guest opinion piece is the third in a series from Björn Fastabend, bringing us a regulator’s perspective alongside a wealth of experience in digital reporting. Björn is head of the XBRL collection and processing unit at BaFin, Germany’s Federal Financial Supervisory Authority, where he supervises all related activities and leads the implementation of strategic […]

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Beyond the Hype: How Structured Data Can Save AI Financial Analysis

By John Turner

XBRL International CEO John Turner on the need for digital analytics to be grounded in traceable, high quality, digital data. AI is coming for financial analysis, and it’s coming fast. Will that mean actionable insights or a hot mess of guesswork and hallucinations – and how do we know? In the last couple of weeks […]

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AIAI+XBRLseriesAnalysisAnalyticsLLM

From Data to Insights: AI-Powered XBRL Analysis in Practice

By Editor

This guest opinion piece is the second in a series from Björn Fastabend, bringing us a regulator’s perspective alongside a wealth of experience in digital reporting. Björn is head of the XBRL collection and processing unit at BaFin, Germany’s Federal Financial Supervisory Authority. He is also a member of XBRL International’s Board of Directors, and […]

Items tagged with "LLM"

Sentiment Analysis | Using LLMs to Analyse Narrative Disclosures

Topic Analysis and Anomaly Detection | Using LLMs to Analyse Narrative Disclosures

Exploring liquidity risk disclosures with LLMs and XBRL

When narrative disclosures become data

Using LLMs to Analyse Narrative Disclosures | Overview of disclosure

Using AI to analyse XBRL reports?

Supercharging AI with structured data

Steps to a New Reality: Navigating Challenges in AI-Enhanced XBRL Analysis

Beyond the Hype: How Structured Data Can Save AI Financial Analysis

From Data to Insights: AI-Powered XBRL Analysis in Practice

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Items tagged with "LLM"

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