Proposed VS comparison models result.

<div><p>Sentiment analysis has become a transformative technology in various contexts, particularly in Natural Language Processing (NLP), social media analytics, and literary analysis, as it can extract information from a wide range of texts. The advancements in deep learning, particular...

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التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Xiaohan Yu (7525940) (author)
مؤلفون آخرون:	Jin Wang (29560) (author)
منشور في:	2025
الموضوعات:	Science Policy Mental Health Biological Sciences not elsewhere classified natural language processing involves delicate syntax enabled faster progress efficiency &# 8211 classical chinese literature unsupervised sentiment labelling strictly labeled data scale foundation models unsupervised learning methods sentiment lexicon enrichment intricate linguistic features integrates bert embeddings graph attention networks embedding includes sentiment defined using gats classical chinese texts experimental results demonstrate results demonstrate transformer models specific data sentiment analysis ntusd lexicon includes senticnn implicit sentiment existing methods deep learning classify sentiment results surpass wide range various contexts transformative technology traditional approach thus injecting shot prompt several runs robust solution raw text philosophical texts paper proposes means clustering literary analysis issue lies extract information emotional information deepseek r1 deep understanding cultural nuances based formulation based classification analyzing historical
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Proposed VS comparison models result.

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