汉越双语事件语料库构建及舆情观点挖掘方法研究

项目名称： 汉越双语事件语料库构建及舆情观点挖掘方法研究

项目编号： No.61472168

项目类型： 面上项目

立项/批准年度： 2015

项目学科： 计算机科学学科

项目作者： 余正涛

作者单位： 昆明理工大学

项目金额： 84万元

中文摘要： 及时有效分析互联网越南新闻事件对把握越南事件舆情观点有重要的作用，本课题针对新闻事件及汉越语言特点，研究汉越双语事件本体知识库及语义语料库构建、新闻事件话题发现与追踪、事件舆情观点挖掘方法。首先，定义新闻事件分类体系，构建事件类别术语、事件关系、事件观点等义原类层次树，构建汉越双语事件本体知识库及带语义要素标记的事件语料库，为分析汉越事件提供知识与语料基础。其次，针对汉越双语事件话题产生演化特点，融合双语语言知识、事件本体知识、事件对齐等特征，研究融合双语主题分析和进化聚类的话题发现与追踪方法，解决双语混合事件话题探索与追踪问题；在此基础上，针对事件间及事件内部特征关联特性，融合事件间关联、句子间关联、实体关联及双语关联等特征，研究基于图模型的双语观点句识别、观点分析、持有人分析及倾向性分析方法，解决融合关联特征的双语事件观点挖掘问题。成果将为有效分析汉越双语舆情事件提供资源及技术支撑。

中文关键词： 信息检索；跨语言信息检索；舆情分析；话题分析；观点挖掘

英文摘要： Analyzing Vietnamese web news events timely and effectively plays a crucial role on getting the public opinion of Vietnamese news event.Aiming to the featues of news events and the different linguistic features between Chinese and Vietnamese, this project studies the construction of the Chinese-Vietnamese bilingual event ontology knowledge-base and the bilingual event semantic element corpus, the method of news events topic detection and tracking, and the method of events public opinion mining.Firstly,defining the types of news events,building the hierarchical tree for sememes,such as eventual type terminology,eventual relationship, eventual opinion and so on,and constructing the Chinese-Vietnamese bilingual event ontology knowledge-base and the event corpus with semantic element tag,lay a solid fundation in knowledge and corpus for analyzing Chinese-Vietamese events.Secondly, aiming to the emerging and evolving characters of the Chinese-Vietamese bilingual event topic,combining all kinds of features together,such as the bilingual languange knowledge,event ontology knowledge,event element aligning and so on,the task studies the methods of topic detection and tracking by combining biligual topic analysis and evolving cluster,and resovles the topic detection and tracking problems on the bilingual mixed events.On the basis of the above-mentioned,aiming to the relevant features between events and between the internal characters in event itself,by combining some relevant features together,for example, the relationship between events, the relationship between sentences, the relationship betweens event entities, the relationship between Chinsese and Vietamese etc.,the task also researches on the bilingual opinion sentence recognition,opinion analysis,opinion-holder recognition and opinion sentiment analysis based on graphical model,and solves the bilingual event opinion mining problems by combining these relevant features.The research achivements will support the effective analysis of Chinese-Vietamese bilingual events with corpus and technology.

英文关键词： information retrieval;cross-language information retrieval;public opinion;topic analysis;opinion mining