SSAS improves LLM sentiment prediction consistency and data quality by up to 30% on three review datasets via syntactic and semantic context assessment summarization.
Sentiment analysis through llm negotiations
2 Pith papers cite this work, alongside 12 external citations. Polarity classification is still indexing.
2
Pith papers citing it
12
external citations · external index
citation-role summary
background 2
citation-polarity summary
verdicts
UNVERDICTED 2roles
background 2polarities
background 2representative citing papers
This survey discusses key components and challenges for Personal LLM Agents and reviews solutions for their capability, efficiency, and security.
citing papers explorer
-
Consistency Analysis of Sentiment Predictions using Syntactic & Semantic Context Assessment Summarization (SSAS)
SSAS improves LLM sentiment prediction consistency and data quality by up to 30% on three review datasets via syntactic and semantic context assessment summarization.
-
Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security
This survey discusses key components and challenges for Personal LLM Agents and reviews solutions for their capability, efficiency, and security.