ChatGPT sets a new record with the fastest-growing user base, as a chatbot powered by a large language model (LLM). While it demonstrates state-of-the-art capabilities in a variety of language-generating tasks, it also raises widespread public concerns regarding its societal impact. In this paper, we utilize natural language processing approaches to investigate the public attitudes towards ChatGPT by applying sentiment analysis and topic modeling techniques to Twitter data. Our result shows that the overall sentiment is largely neutral to positive, which also holds true across different occupation groups. Among a wide range of topics mentioned in tweets, the most popular topics are Artificial Intelligence, Search Engines, Education, Writing, and Question Answering.

翻译：ChatGPT作为基于大语言模型（LLM）的聊天机器人，以最快增长的用户规模刷新了纪录。尽管它在多种语言生成任务中展现出顶尖性能，但其社会影响也引发了广泛的公众担忧。本文采用自然语言处理方法，通过对推特数据进行情感分析和主题建模，探究公众对ChatGPT的态度。研究结果表明，整体情感倾向以中性至正面为主，这一趋势在不同职业群体中同样成立。在推特提及的众多话题中，最热门的话题包括人工智能、搜索引擎、教育、写作和问答系统。