本文選題：輿情監(jiān)測 + 蜘蛛技術(shù)��； 參考：《電子科技大學》2013年碩士論文

【摘要】：隨著互聯(lián)網(wǎng)的快速發(fā)展,網(wǎng)絡文化的安全問題也逐漸顯現(xiàn)出來。網(wǎng)絡輿情熱點是網(wǎng)民思想情緒和群眾利益訴求在網(wǎng)絡上的集中反映,是網(wǎng)民熱切關(guān)注的聚焦點,反映出一個時期網(wǎng)民的所思所想。各大網(wǎng)站的BBS作為互聯(lián)網(wǎng)最活躍的平臺之一,自然充斥著大量不良的、敏感的、反面的信息,如果能夠建立對重點網(wǎng)站的自動監(jiān)控平臺,對敏感信息進行自動采集、歸類、跟蹤,篩選等,就能極大地減少資源投入,高效的開展輿情偵測工作。此外,對危害互聯(lián)網(wǎng)的信息來源的挖掘與偵測也是我國目前網(wǎng)絡安全工作的重點和難點。 基于上述情況,本文首先對網(wǎng)絡爬蟲進行了初步探究,再把爬蟲的原理和BBS特征結(jié)合在一起,提出了一個基于網(wǎng)絡,BBS的輿情信息數(shù)據(jù)的采集和提取系統(tǒng)。本課題在對我國網(wǎng)絡輿論尤其是群體性事件進行了深入分析研究的基礎上,建立了基于趨勢評估的輿情監(jiān)控模型,設計并實現(xiàn)了基于趨勢分析的輿情監(jiān)控系統(tǒng)。具體進行了以下研究工作： 1、通過分析將整個輿情監(jiān)控技術(shù)歸納為“采集技術(shù)”、“識別技術(shù)”和“判斷技術(shù)”,并對各階段的技術(shù)進行了研究。 2、對具有中國特色的網(wǎng)絡輿論進行了分析和研究,總結(jié)了中國式的互聯(lián)網(wǎng)輿論模式。 3、對如何判斷輿論走向、如何識別負面趨勢進行了研究。 4、構(gòu)建了一種基于趨勢評估的輿情監(jiān)控模型：包括采集模塊、瀏覽量識別模塊、關(guān)鍵字識別模塊、傳播熱度識別模塊、聚類摘要模塊、趨勢分析模塊,并進行了編碼和實際應用。 所建立的輿情監(jiān)控系統(tǒng)實現(xiàn)了以下功能： 1、構(gòu)建趨勢評估模型：通過模糊數(shù)學分析對輿情這類模糊事物的性狀進行可靠定量,計算出輿情發(fā)展趨勢的具體值。 2、時間聚類過濾：對信息處理模塊采用了時間聚類分析技術(shù),過濾搜索引擎和數(shù)據(jù)采集監(jiān)控點過時的信息,并依據(jù)監(jiān)控點信息出現(xiàn)的時間變化與響應的增量值來加入趨勢評估的建模。 3、通過趨勢評估技術(shù),將國內(nèi)現(xiàn)有的輿情監(jiān)控的采集模塊和分析模塊進行了關(guān)聯(lián)。利用模糊綜合評判的方法構(gòu)建出輿情事件的可能性,結(jié)合貝葉斯網(wǎng)絡技術(shù)評價輿情事件的發(fā)展態(tài)勢。
[Abstract]:With the rapid development of the Internet, the security of the network culture has gradually emerged. The hot spot of network public opinion is the concentrated reflection of the netizens' thoughts and emotions and the interests of the masses on the network. It is the focal point that the netizens pay close attention to, and reflect the thoughts and thoughts of the netizens in a period of time. As one of the most active platforms on the Internet, the BBS of major websites is naturally filled with a large number of bad, sensitive and negative information. If we can establish an automatic monitoring platform for key websites, we can automatically collect and classify sensitive information. Tracking, screening, and so on, can greatly reduce the input of resources, efficient public opinion detection work. In addition, the mining and detection of the information sources that harm the Internet is also the focus and difficulty of the network security work in our country. Based on the above situation, this paper firstly probes into the web crawler, then combines the principle of crawler with the characteristics of BBS, and puts forward a collection and extraction system of public opinion information data based on BBS. On the basis of deeply analyzing and studying the network public opinion, especially the mass events in our country, this paper establishes a monitoring model of public opinion based on trend evaluation, and designs and implements a monitoring system of public opinion based on trend analysis. The following studies were carried out: 1. Through analysis, the whole monitoring technology of public opinion is divided into "collection technology", "identification technology" and "judgment technology", and the technology of each stage is studied. 2. This paper analyzes and studies the internet public opinion with Chinese characteristics, and sums up the Chinese internet public opinion mode. 3. How to judge the trend of public opinion and how to identify the negative trend are studied. 4. A monitoring model of public opinion based on trend assessment is constructed, which includes collection module, visitor recognition module, keyword identification module, propagation heat identification module, cluster summary module, trend analysis module, etc. Coding and practical application are carried out. The public opinion monitoring system realized the following functions: 1. Construct the trend evaluation model: through the fuzzy mathematics analysis to the public opinion this kind of fuzzy thing characteristic carries on the reliable quantification, calculates the public opinion development tendency concrete value. 2. Time clustering filtering: the information processing module adopts the technology of time clustering analysis to filter out the outdated information of search engine and data collection and control point. The model of trend assessment is added according to the increment value of time change and response of monitoring point information. 3. Through the trend evaluation technology, the collection module and the analysis module of public opinion monitoring are connected. The possibility of public opinion event is constructed by using fuzzy comprehensive evaluation method, and the development trend of public opinion event is evaluated with Bayesian network technology.
【學位授予單位】：電子科技大學
【學位級別】：碩士
【學位授予年份】：2013
【分類號】：TP393.08

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