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Article

Reliability of LLM-based Citation Sentiment Analysis under Structural Pressure: A Holistic Pressure Index Approach for Scientometric Inference

2026-05-05

Abstract excerpt

<title>Abstract</title> <p>The evaluation of Large Language Models (LLMs) in sentiment analysis tasks primarily relies on standard accuracy metrics, which do not account for how demanding the conditions are under which a prediction is generated. This study introduces the Holistic Pressure Index (HPI) as a measure for quantifying the structural and semantic pressure exerted on models during Citation Sentiment Anal...

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Literature Corpus work
a852e9e5-0850-55e8-8391-7a5125ec5a4a
DOI
10.21203/rs.3.rs-9462261/v1
Open publication

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Semantic proximity does not establish scientific evidence.

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Reliability of LLM-based Citation Sentiment Analysis under Structural Pressure: A Holistic Pressure Index Approach for Scientometric InferenceDOI 10.21203/rs.3.rs-9462261/v1
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