微博輿情分析系統(tǒng)信息處理模塊的設(shè)計(jì)與實(shí)現(xiàn)
[Abstract]:Weibo as a rapidly rising social network, because of the mixed sources of information, as well as the blindness of the public, the use of Weibo to spread rumors, disturbing social order incidents occur from time to time. Today, Weibo publishes millions of posts per hour on average. It is almost impossible to monitor and analyze so many items by manual means alone. Therefore, it is urgent to develop an early warning system for Weibo's public opinion analysis based on modern text automatic analysis technology. The work of this paper is to design and develop the information processing module of Weibo Public opinion Information Analysis system. Firstly, the paper introduces the whole frame design of Weibo public opinion analysis system, and describes the information collection, index and word segmentation module of the system and the related open source software and technology. The analysis method of this system is carried out by Weibo keyword, and the potential semantic analysis (LSA) used by Weibo is also introduced. The last part of the paper mainly introduces the information processing module, and gives its overall design framework, as well as the real-time statistics, custom statistics, congener word merging, Weibo influence analysis and other functional points of the specific design and coding implementation. The main functions of the system include: (1) real-time statistics and early warning of Sina Weibo; (2) complicated and accurate statistics (3) merging of similar words; (4) Weibo analysis and user analysis; 5) providing analysis function API; this system will further play an important role in the future, providing information support and data sharing for the application system of large political platform.
【學(xué)位授予單位】:東華大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2014
【分類(lèi)號(hào)】:TP311.52;TP393.092
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