Consistency Analysis of Sentiment Predictions using Syntactic & Semantic Context Assessment Summarization (SSAS)

This paper introduces the Syntactic & Semantic Context Assessment Summarization (SSAS) framework to address the inconsistency of LLM-based sentiment predictions, a challenge for reliable enterprise analytics. SSAS functions as a sophisticated data pre-processing tool, employing hierarchical classification and iterative summarization to establish high-signal, sentiment-dense context for more stable and reliable business decisions.