俄语多模态情感语料库的构建及应用  

Construction and Application of Russian Multimodal Emotion Corpus

作　　者：徐琳宏[1] 刘鑫[1] 原伟 祁瑞华[1] XU Lin-hong;LIU Xin;YUAN Wei;QI Rui-hua(Research Center for Language Intelligence of Dalian University of Foreign Languages,Dalian,Liaoning 116044,China;Information Engineering University,Luoyang,Henan 471003,China)

机构地区：[1]大连外国语大学语言智能研究中心,辽宁大连116044 [2]信息工程大学,河南洛阳471003

出　　处：《计算机科学》2021年第11期312-318,共7页Computer Science

基　　金：教育部人文社科青年基金项目(18YJCZH208);国家自然科学基金(61806038,61772103)。

摘　　要：俄语的多模态情感分析技术是情感分析领域的研究热点,它可以通过文本、语音和图像等丰富信息自动分析和识别情感,有助于及时了解俄语区民众和国家的舆论热点。但目前俄语的多模态情感语料库还较少,因而制约了俄语情感分析技术的进一步发展。针对该问题,在分析多模态情感语料库的相关研究及情感分类方法的基础上,首先制定了一套科学完整的标注体系,标注内容包括话语、时空和情感3个部分的11项信息;然后在语料库的整个建设和质量监控过程中,遵循情感主体原则和情感连续性原则,拟订出操作性较强的标注规范,进而构建出规模较大的俄语多模态情感语料库;最后探讨了语料库在解析情感表达特点、分析人物性格特征和构造情感识别模型等多个方面的应用。As a research hotspot in the field of emotion analysis,Russian multimodal sentiment analysis technology can automatically analyze and identify emotions through rich information such as text,voice and image,which is helpful to timely understand the public opinion hotspots in Russian speaking countries and areas.However,there are only a few multimodal emotion corpora in Russian,which limits the further development of Russian emotion analysis technology.Based on the analysis of the related research and emotion classification methods of multimodal emotion corpus,this paper develops a scientific and complete tagging system,which includes 11 items of information in utterance,space-time and emotion.In the whole process of corpus construction and quality control,this paper follows the principle of emotional subject and emotional continuity,formulates a strong operational annotation specification and constructs a large-scale Russian emotional corpus.Finally,it discusses the application of corpus in the analysis of emotional expression characteristics,the analysis of personality characteristics and the construction of emotion recognition model.

关 键 词：多模态 情感分析 语料库 俄语 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]