AnalyseNarrativeDisclosures

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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 […]

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 […]

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 […]

AnalyseNarrativeDisclosures

Items tagged with "AnalyseNarrativeDisclosures"

Sentiment Analysis | Using LLMs to Analyse Narrative Disclosures

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

Using LLMs to Analyse Narrative Disclosures | Overview of disclosure

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AnalyseNarrativeDisclosures

Items tagged with "AnalyseNarrativeDisclosures"

Sentiment Analysis | Using LLMs to Analyse Narrative Disclosures

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

Using LLMs to Analyse Narrative Disclosures | Overview of disclosure

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