用户生成内容研究进展综述  

Survey on Research Trend of User Generated Content

作　　者：徐勇[1,2] 武雅利[1] 李东勤 赵涛[1] 焦梦蕾[1] Xu Yong;Wu Yali;Li Dongqin;Zhao Tao;Jiao Menglei(School of Management Science and Engineering,Anhui Finance and Economics University,Bengbu 233000,China;School of Statistics and Applied Mathematics,Anhui Finance and Economics University,Bengbu 233000,China)

机构地区：[1]安徽财经大学管理科学与工程学院,安徽蚌埠233000 [2]安徽财经大学统计与应用数学学院,安徽蚌埠233000

出　　处：《现代情报》2018年第11期130-135,144,共7页Journal of Modern Information

基　　金：2015年度国家社会科学基金规划项目"跨媒体用户生成内容情感倾向挖掘及其应用研究"(项目编号:15BTQ043);2017年安徽财经大学研究生科研创新基金重点项目"文本形式用户生成内容主体识别算法设计与实现"(项目编号:ACYC2017056)

摘　　要：用户生成内容是Web2. 0下由网络用户创作的互联网信息,分析其相关理论研究进展从而为UGC的进一步研究及商业利用提供思路具有重要的参考意义。本文在界定了UGC产生的背景基础上,从UGC基本范畴、生成动机、质量问题和法律问题4方面,分析了UGC研究动态;探究UGC情感分析中情感词语和情感量化问题,归纳现有情感分析涉及的算法应用。在研究现状分析基础上,指出下一步应重点研究促进网络用户生产出高质量UGC的激励和约束政策,建立更加完善、准确的推荐模型,设计符合不同应用领域的情感词量化方法,构建保护用户隐私的UGC生产、利用机制。User Generation Content is an active topic in recent years under the condition of Web 2.0.Literatures on User Generation Content were reviewed.The paper introduced the background of UGC,then analyzed its research trends from four views,basic concept,generation motivation,quality and legal problem of UGC.Sentimental words and sentimental quantification in UGC's sentimental analysis were studied,and the application of algorithms used in the existing sentimental analysis was introduced.Finally,interesting works in the future,such as policies which could improve UGC's quality,recommendation models that could get high accuracy of UGC mining,quantitative method how to construct a sufficient sentimental dictionary for different area,privacy preserving of UGC,were proposed.

关 键 词：WEB 2.0 用户生成内容 研究动态 情感分析 

分 类 号：G202[文化科学—传播学]