A Comparative Analysis of LLM Sentiment Distribution Across Varied Situational Depressiveness

The goal of this study is finding the most positive AI in different level of depressing situation focusing on sentiment distribution. The levels of prompt's depression are divided into four based on negativity probability: 0.6-0.7, 0.7-0.8, 0.8-0.9, 0.9-1.0. Fifteen prompts per level are given to AI, and all of their answers are analyzed with Classify["Sentiment"]. Sentiment distribution observes how positivity scores of sentences are spread; models with high concentration in the higher bound are defined as more positive. Among three models, the most positive model is ChatGPT in 0.6 - 0.7 level, Claude in 0.7 - 0.8 level, and Gemini in both 0.8 - 0.9 level and 0.9 - 1.0 level. However, by absolute standards, none of the models are positive; rather they are biased toward negativity.

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