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中文摘要：
自然语言问答在情感图像检索中并末广泛应用，对此进行了探索与尝试，设计和实现了一个以自然语言作为检索入口的情感图像检索系统，并给出系统架构及技术方案。研究过程中，引入自然语言处理技术对自然问句进行浅层语义分析，并建立了一个情感映射模型，实现了常用情感词语与该模型之间以及该模型与情感图像之间的映射。另外，还对系统的检索结果进行了评价。通过对系统的实现，为自然语言问答与情感图像检索的结合提供了一种新的思路与方法。
英文摘要：
Natural language question-answer has not been widely used in emotional image retrieval, on this issue we have explored and tried, and design and implement an emotional image retrieval system in which the natural language is used as a seareh entrance. The system architecture and technical solutions are also given in the article. In the process of the research, by introducing the natural language processing technique, we parse the shallow semantics of natural language questions and establish an emotional mapping model, which realises the mapping between the emotional words in common use and the model as well as between the model and the emotional images. Besides, we also evaluate the search results of the system. Through the implementation of the system, we provide a new train of thought and the method for the combination of natural language question-answer and emotion image retrieval.
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