AINeutralarXiv – CS AI · Apr 206/10
🧠
Consistency Analysis of Sentiment Predictions using Syntactic & Semantic Context Assessment Summarization (SSAS)
Researchers introduce SSAS, a framework that improves LLM consistency for sentiment analysis by applying hierarchical classification and iterative summarization to enforce bounded attention on raw text. Testing on three standard datasets shows the method reduces analytical variance by up to 30%, addressing the fundamental challenge of using non-deterministic LLMs for enterprise-grade analytics.
🧠 Gemini