arXiv：cs.AI· Shireesh Reddy Pyreddy, Tarannum Shaila Zaman·· 6 小时前
EmoXpt：分析人类评论与 LLM 生成回复中的情感差异
EmoXpt: Analyzing Emotional Variances in Human Comments and LLM-Generated Responses
AI 导读
研究提出情感分析框架 EmoXpt，用于评估人类对生成式 AI 的看法以及 ChatGPT 回复中的情感表达，分析对象为提及 ChatGPT、OpenAI、Copilot 和 LLM 的推文。结果显示，LLM 生成的回复比人类回复更高效、连贯，且情感始终保持正面。
正文
Abstract:The widespread adoption of generative AI has generated diverse opinions, with individuals expressing both support and criticism of its applications. This study investigates the emotional dynamics surrounding generative AI by analyzing human tweets referencing terms such as ChatGPT, OpenAI, Copilot, and LLMs. To further understand the emotional intelligence of ChatGPT, we examine its responses to selected tweets, highlighting differences in sentiment between human comments and LLM-generated responses. We introduce EmoXpt, a sentiment analysis framework designed to assess both human perspectives on generative AI and the sentiment embedded in ChatGPT's responses. Unlike prior studies that focus exclusively on human sentiment, EmoXpt uniquely evaluates the emotional expression of ChatGPT. Experimental results demonstrate that LLM-generated responses are notably more efficient, cohesive, and consistently positive than human responses.
| Comments: | 7 pages, 10 figures, 5 tables. This paper has been accepted and presented at the 2025 IEEE 15th Annual Computing and Communication Workshop and Conference (CCWC) |
| Subjects: | Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Computation and Language (cs.CL); Human-Computer Interaction (cs.HC) |
| Cite as: | arXiv:2501.06597 [cs.LG] |
| (or arXiv:2501.06597v1 [cs.LG] for this version) | |
| https://doi.org/10.48550/arXiv.2501.06597 arXiv-issued DOI via DataCite |
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| Related DOI: | https://doi.org/10.1109/ccwc62904.2025.10903889
DOI(s) linking to related resources |
Submission history
From: Shireesh Reddy Pyreddy [view email]
[v1]
Sat, 11 Jan 2025 17:45:13 UTC (33,549 KB)
来源：arXiv：cs.AI · arxiv.org