微博輿情分析系統(tǒng)信息處理模塊的設計與實現(xiàn)
發(fā)布時間：2019-01-07 17:54
【摘要】：微博作為迅速崛起的新興社交網(wǎng)絡,因為信息的來源良莠不齊,以及民眾的盲從性,利用微博傳播謠言,擾亂社會治安的事件時有發(fā)生。如今,平均每小時的微博發(fā)布量高達數(shù)百萬條,僅僅通過人工手段來對如此多條目進行監(jiān)控和分析幾乎是不可能完成的任務,因此依靠現(xiàn)代文本自動分析技術來開發(fā)一款微博輿情分析預警系統(tǒng)迫在眉睫。 本論文的工作是為一款微博輿情信息分析系統(tǒng)設計和開發(fā)其中的信息處理模塊。論文首先介紹了微博輿情分析系統(tǒng)的整體框架設計,概括描述了該系統(tǒng)底層的信息采集、索引和分詞模塊和其所涉及的相關開源軟件和技術。本系統(tǒng)的分析手段是通過微博關鍵詞來進行的,對其所使用的潛在語義分析(LSA)也做出了相應的介紹。 論文的后幾部分主要介紹信息處理模塊,給出其整體設計架構,以及實時統(tǒng)計、自定義統(tǒng)計、同類詞歸并、微博影響力分析等功能點的具體設計和編碼實現(xiàn)。系統(tǒng)完成的主要功能包括： 1)新浪微博的實時統(tǒng)計和預警； 2)各類復雜且精確地自定義統(tǒng)計 3)同類詞歸并； 4)微博分析以及用戶分析； 5)提供分析功能API; 該系統(tǒng)在今后還將進一步發(fā)揮重要作用,為大政工平臺的應用系統(tǒng)提供信息支持和數(shù)據(jù)共享。
[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.
【學位授予單位】：東華大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：TP311.52;TP393.092
本文編號：2403958
[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.
【學位授予單位】：東華大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：TP311.52;TP393.092
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