Mastering Analyze sentiment
on Phi-3.5 MoE

The optimized prompt leverages chain-of-thought (CoT) to guide the model's reasoning process. By breaking down the task into explicit steps, it encourages the model to first identify sentiment-bearing phrases, then interpret them, and finally synthesize an overall sentiment. This structured approach reduces ambiguity, improves accuracy, and makes the model's 'thinking' transparent. For MoE models like Phi-3.5 MoE, clear step-by-step instructions can help activate relevant expert sub-models more effectively, leading to more robust and accurate sentiment analysis by ensuring a thorough consideration of all sentiment indicators.