From Text to Structure Cross-Document Narrative Analysis Using AI-Assisted Semantic Signal Extraction

Introduction of Semantic Signal Analysis (SSA) as a computational framework for extracting, linking, and analyzing claims across heterogeneous text corpora with supporting data. SSA models discourse as a network of claims, enabling structural analysis of narratives across documents.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-04-23
DOI
https://doi.org/10.5281/zenodo.19470452
Primary Topic
Computational and Text Analysis Methods
Type
article
Field-Weighted Citation Impact
0.00
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article

From Text to Structure Cross-Document Narrative Analysis Using AI-Assisted Semantic Signal Extraction

Richard Zaengle
Zenodo (CERN European Organization for Nuclear Research)
Computational and Text Analysis Methods
article

From Text to Structure Cross-Document Narrative Analysis Using AI-Assisted Semantic Signal Extraction

Richard Zaengle
article en

Abstract

Introduction of Semantic Signal Analysis (SSA) as a computational framework for extracting, linking, and analyzing claims across heterogeneous text corpora with supporting data. SSA models discourse as a network of claims, enabling structural analysis of narratives across documents.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 14%
Computational and Text Analysis Methods
DOIOpen Access PDFOpenAlex
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