SGER/Collaborative Research: Handling Negations and Temporal Aspects for Opinion Retrieval

本合作探索性研究项目（0842546,Clement Yu， UIC和0842608 Weiyi孟，SUNY Binghamton）的目标是研究意见检索中的两个重要问题。第一个是确定一个否定词是否会颠覆一个固执己见的词的情绪，第二个是检查关于一个话题的观点是如何随着时间的推移而变化的，以及是什么导致了重大的变化。这个项目的目标是在18个月内证明在两个领域（消费品/服务和医疗/健康）中，当一个否定词在一个句子中出现一次时，可以准确地确定一个否定词是否翻转了一个固执己见的词或短语的极性，并准确地获得表征给定话题情绪变化的重要时间点和词/短语。该项目的研究结果将为实现长期目标奠定基础，这些目标包括根据给定领域的给定查询确定特征的情感极性，识别导致情感显著变化的事件，测量情感强度及其随时间的变化，以及研究意见检索的否定和时间方面之间的相互作用。预计所提出的项目可以对未来的搜索引擎技术、信息检索、文本挖掘和博客检索和分析产生重大影响。研究成果将被纳入pi教授的几门课程中，学生将被招募参与研究活动。研究成果将通过发表论文的形式进行传播。该项目的网站（http://www.cs.binghamton.edu/~meng/OpRetSGER.html）提供了对研究结果的访问。

The goal of this collaborative exploratory research project (0842546, Clement Yu, UIC and 0842608 Weiyi Meng, SUNY Binghamton) is to investigate two important problems in opinion retrieval. The first is to determine whether a negation word flips the sentiment of an opinionated word and the second is to examine how the opinions about a topic change over time and what causes significant changes. This project aims to demonstrate within 18 months that within two domains (consumer products/services and medical/health), whether a negation word flips the polarity of an opinionated word or phrase can be accurately determined when there is a single occurrence of such negation word in a sentence, and the significant time points and words/phrases that characterize the changes of sentiments for a given topic can be accurately obtained. The research results from this project will lay the foundation in achieving longer-term goals that include determining the polarity of the sentiment of a feature with reference to a given query in any given domain, identifying the events that cause the significant change of sentiments, measuring the intensity of sentiments and its change over time, and studying the interactions between the negation and temporal aspects of opinion retrieval. It is expected that the proposed project can have a significant impact on future search engine technology, information retrieval, text mining, and blog retrieval and analysis. Research results will be incorporated into several courses the PIs teach and students will be recruited to participate in the research activities. Research results will be disseminated through published papers. The project Web site (http://www.cs.binghamton.edu/~meng/OpRetSGER.html) provides access to research results.