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

【摘要】：隨著互聯(lián)網(wǎng)的快速發(fā)展,網(wǎng)絡(luò)文化的安全問題也逐漸顯現(xiàn)出來。網(wǎng)絡(luò)輿情熱點(diǎn)是網(wǎng)民思想情緒和群眾利益訴求在網(wǎng)絡(luò)上的集中反映,是網(wǎng)民熱切關(guān)注的聚焦點(diǎn),反映出一個(gè)時(shí)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(tái)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(duì)重點(diǎn)網(wǎng)站的自動(dòng)監(jiān)控平臺(tái),對(duì)敏感信息進(jìn)行自動(dòng)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(cè)工作。此外,對(duì)危害互聯(lián)網(wǎng)的信息來源的挖掘與偵測(cè)也是我國目前網(wǎng)絡(luò)安全工作的重點(diǎn)和難點(diǎn)。 基于上述情況,本文首先對(duì)網(wǎng)絡(luò)爬蟲進(jìn)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(gè)基于網(wǎng)絡(luò),BBS的輿情信息數(shù)據(jù)的采集和提取系統(tǒng)。本課題在對(duì)我國網(wǎng)絡(luò)輿論尤其是群體性事件進(jìn)行了深入分析研究的基礎(chǔ)上,建立了基于趨勢(shì)評(píng)估的輿情監(jiān)控模型,設(shè)計(jì)并實(shí)現(xiàn)了基于趨勢(shì)分析的輿情監(jiān)控系統(tǒng)。具體進(jìn)行了以下研究工作： 1、通過分析將整個(gè)輿情監(jiān)控技術(shù)歸納為“采集技術(shù)”、“識(shí)別技術(shù)”和“判斷技術(shù)”,并對(duì)各階段的技術(shù)進(jìn)行了研究。 2、對(duì)具有中國特色的網(wǎng)絡(luò)輿論進(jìn)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(duì)如何判斷輿論走向、如何識(shí)別負(fù)面趨勢(shì)進(jìn)行了研究。 4、構(gòu)建了一種基于趨勢(shì)評(píng)估的輿情監(jiān)控模型：包括采集模塊、瀏覽量識(shí)別模塊、關(guān)鍵字識(shí)別模塊、傳播熱度識(shí)別模塊、聚類摘要模塊、趨勢(shì)分析模塊,并進(jìn)行了編碼和實(shí)際應(yīng)用。 所建立的輿情監(jiān)控系統(tǒng)實(shí)現(xiàn)了以下功能： 1、構(gòu)建趨勢(shì)評(píng)估模型：通過模糊數(shù)學(xué)分析對(duì)輿情這類模糊事物的性狀進(jìn)行可靠定量,計(jì)算出輿情發(fā)展趨勢(shì)的具體值。 2、時(shí)間聚類過濾：對(duì)信息處理模塊采用了時(shí)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(diǎn)過時(shí)的信息,并依據(jù)監(jiān)控點(diǎn)信息出現(xiàn)的時(shí)間變化與響應(yīng)的增量值來加入趨勢(shì)評(píng)估的建模。 3、通過趨勢(shì)評(píng)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(jìn)行了關(guān)聯(lián)。利用模糊綜合評(píng)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(luò)技術(shù)評(píng)價(jià)輿情事件的發(fā)展態(tài)勢(shì)。
[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(xué)位授予單位】：電子科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2013
【分類號(hào)】：TP393.08

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本文編號(hào)：1790854