基于微博的网络舆情分析系统设计 |
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引用本文:李勇,张克亮,李伟刚.基于微博的网络舆情分析系统设计[J].计算技术与自动化,2013,(2):123-127 |
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中文摘要:微博作为一种近年出现的新型网络媒体形式,已经成为网络舆论的强磁场。通过微博自身的特点,分析其对网络舆情的价值,然后设计基于微博的网络舆情分析系统,包括文本预处理、微博文本的向量表示与提取、话题发现以及微博的传播态势和倾向性分析等过程,微博特征提取采用了TF-IDF模型,话题发现采用MBT形式化表述,最后展望该系统的前景。 |
中文关键词:微博 向量空间模型 TF-IDF 话题发现 舆情分析 |
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System Design of Network Public Opinion Based on the Micro-blog |
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Abstract:Micro-blog as a new forms of online media, has become a strong magnetic field of the network public opinion. Micro-blog own characteristics, analysis of the value of its network public opinion, design public opinion analysis system based on the Micro-blog, including text preprocessing, Micro-blog text vector extraction, topic detection and propagation of Micro-blog trend and tendency analysis process, Micro-blog feature extraction use the TF-IDF model, the topic use MBT formalized representation finally, the future prospects of the system. |
keywords:Micro-blog vector space model TF-IDF topic detection public opinion analysis |
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