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eduard-mir/Sentiment-Polarity-Entropy: Entropy-Based Polarity Analysis with Human Annotation and Cross-Model Comparison

2026-07-15 · Zenodo (CERN European Organization for Nuclear Research)

One-line summary

An AI research paper on eduard-mir/Sentiment-Polarity-Entropy: Entropy-Based Polarity Analysis with Human Annotation and Cross-Model Comparison.

Engineering notes

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Chinese explanation / 中文解读

中文解读待补充：本站会优先为大语言模型、生成式AI、ChatGPT相关技术、计算机视觉、深度学习等高价值论文补充中文说明。

Original abstract

This release consolidates the full project pipeline: construction of the adjective polarity/entropy corpus, the entropy-based analysis distinguishing encoded from inferred polarity, and a new human-annotated benchmark (959 sentences sampled from 200 stratified adjectives) used to validate automatic classification. It also adds a cross-model comparison against the resulting Gold Human Label, evaluating pysentimiento/RoBERTuito, Cardiff NLP's twitter-xlm-roberta-base-sentiment, ChatGPT, and Claude across low/mid/high entropy bands.

5.0Engineering value

7.0Research novelty

4.0Business relevance

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