In recent years, the development of Large Language Models (LLMs) has made significant breakthroughs in the field of natural language processing and has gradually been applied to the field of humanities and social sciences research. LLMs have a wide range of application value in the field of humanities and social sciences because of its strong text understanding, generation and reasoning capabilities. In humanities and social sciences research, LLMs can analyze large-scale text data and make inferences. This article analyzes the large language model DeepSeek-R1 from seven aspects: low-resource language translation, educational question-answering, student writing improvement in higher education, logical reasoning, educational measurement and psychometrics, public health policy analysis, and art education.Then we compare the answers given by DeepSeek-R1 in the seven aspects with the answers given by o1-preview. DeepSeek-R1 performs well in the humanities and social sciences, answering most questions correctly and logically, and can give reasonable analysis processes and explanations. Compared with o1-preview, it can automatically generate reasoning processes and provide more detailed explanations, which is suitable for beginners or people who need to have a detailed understanding of this knowledge, while o1-preview is more suitable for quick reading. Through analysis, it is found that LLM has broad application potential in the field of humanities and social sciences, and shows great advantages in improving text analysis efficiency, language communication and other fields. LLM's powerful language understanding and generation capabilities enable it to deeply explore complex problems in the field of humanities and social sciences, and provide innovative tools for academic research and practical applications.

翻译：近年来，大语言模型（LLMs）的发展在自然语言处理领域取得重大突破，并逐步应用于人文社会科学研究领域。LLMs凭借其强大的文本理解、生成与推理能力，在人文社科领域具有广泛的应用价值。在人文社科研究中，LLMs能够分析大规模文本数据并进行推理分析。本文从低资源语言翻译、教育问答、高等教育学生写作提升、逻辑推理、教育测量与心理测量学、公共卫生政策分析、艺术教育七个维度对大语言模型DeepSeek-R1进行分析，并将其在七个方面的回答与o1-preview的回答进行对比。DeepSeek-R1在人文社科领域表现优异，能够正确且逻辑清晰地回答大部分问题，并能给出合理的分析过程与解释说明。相较于o1-preview，其能自动生成推理过程并提供更详尽的解释，适合初学者或需要深入了解相关知识的人群，而o1-preview则更适合快速阅读。通过分析发现，LLM在人文社科领域具有广阔的应用潜力，在提升文本分析效率、语言交流等领域展现出巨大优势。LLM强大的语言理解与生成能力使其能够深入探究人文社科领域的复杂问题，为学术研究与实践应用提供创新性工具。