文本意见挖掘综述

意见挖掘是针对主观性文本自动获取有用的意见信息和知识,它是一个新颖而且十分重要的研究课题。这种技术可以应用于现实生活中的许多方面,如电子商务、商业智能、信息监控、民意调查、电子学习、报刊编辑、企业管理等。本文首先对意见挖掘进行了定义,然后阐述了意见挖掘研究的目的,接着从主题的识别、意见持有者的识别、陈述的选择和情感的分析四个方面对意见挖掘的研究现状进行了综述,并介绍了几个成型的系统。此外,我们针对汉语的意见挖掘做了特别的分析。最后对整个领域的研究进行了总结。

A Survey of Opinion Mining for Texts

Opinion Mining is a novel and important research topic,aiming to automatically acquire useful opinioned information and knowledge in subjective texts.This technique has wide and many real-world applications,such as e-commerce,business-intelligence,information monitoring,public-opinion poll,e-learning,newspaper and publication compilation,business management,etc.In this paper,we give a definition for opinion mining and then describe the motivation of this research.Afterwards,we present a survey on the state-of-the-art of opinion mining on top of four subtasks:topic extraction,holder identification,claim extraction and sentiment analysis,followed by an overview of several existing systems.In addition,specific analysis on Chinese Opinion Mining is performed.Finally,we provide the summarization of opinion mining research.