【摘要】：網(wǎng)絡(luò)輿情形成迅速，對(duì)社會(huì)影響巨大。隨著因特網(wǎng)在全球范圍內(nèi)的飛速發(fā)展，網(wǎng)絡(luò)媒體已被公認(rèn)為是繼報(bào)紙、廣播、電視之后的“第四媒體”，網(wǎng)絡(luò)成為反映社會(huì)民生的主要載體之一。已日益成為輿情產(chǎn)生和傳播的重要領(lǐng)域，網(wǎng)絡(luò)輿情在社會(huì)生活中扮演著越來越重要的角色。其直接性，突出性，偏差性使網(wǎng)絡(luò)輿情雙刃劍角色的作用越發(fā)明顯。為了加強(qiáng)網(wǎng)絡(luò)管理和監(jiān)控，，如何更好的開展網(wǎng)絡(luò)輿情信息的監(jiān)測(cè)、追蹤與分析，已經(jīng)成為目前政府、企業(yè)、學(xué)校等機(jī)構(gòu)面臨的首要現(xiàn)實(shí)問題。網(wǎng)絡(luò)輿情監(jiān)測(cè)追蹤系統(tǒng)可以實(shí)現(xiàn)針對(duì)網(wǎng)絡(luò)中海量輿情信息自動(dòng)實(shí)時(shí)的采集與分析，有效地解決以傳統(tǒng)的人工方式對(duì)輿情監(jiān)測(cè)、追蹤和分析的難題。 傳統(tǒng)的基于文本聚類的網(wǎng)絡(luò)輿情熱點(diǎn)追蹤算法，在處理海量網(wǎng)頁時(shí)，文本聚類速度過低，聚合結(jié)果較差。本文提出了一種基于關(guān)鍵詞提取的網(wǎng)絡(luò)輿情熱點(diǎn)追蹤方案，并根據(jù)微博、新聞、論壇和博客的不同特點(diǎn)分別設(shè)計(jì)了熱點(diǎn)分析模型。通過在筆者開發(fā)的啄木鳥網(wǎng)絡(luò)輿情監(jiān)測(cè)追蹤系統(tǒng)上的實(shí)驗(yàn)表明，該方案行之有效，熱點(diǎn)分析模型識(shí)別熱點(diǎn)準(zhǔn)確率高。 網(wǎng)絡(luò)輿情監(jiān)測(cè)與傳統(tǒng)搜索引擎最大的區(qū)別就在于其時(shí)效性強(qiáng)，滯后的信息毫無價(jià)值。及時(shí)性包括兩個(gè)方面，采集性的及時(shí)性與信息分析的高效性。本文提出了首先在海量的網(wǎng)站中根據(jù)影響力的排名，選取有限的主流權(quán)威站點(diǎn)作為首要信息采集源，將有限的資源充分利用，最終提升監(jiān)測(cè)效率。 最后，根據(jù)網(wǎng)絡(luò)的發(fā)展現(xiàn)狀，本文給出了一個(gè)具體的應(yīng)用系統(tǒng)啄木鳥輿情監(jiān)測(cè)追蹤系統(tǒng)。引入近幾年來針對(duì)網(wǎng)絡(luò)輿情監(jiān)控方面進(jìn)行系統(tǒng)建設(shè)的過程中出現(xiàn)的問題以及解決具體問題的思路，全面分析了設(shè)計(jì)建設(shè)的目標(biāo)和原則，同時(shí)深入闡述了各項(xiàng)功能的詳細(xì)作用及最終實(shí)現(xiàn)，為及時(shí)準(zhǔn)確預(yù)警網(wǎng)絡(luò)突發(fā)事件和全面應(yīng)對(duì)分析做出一些自己的貢獻(xiàn)。
[Abstract]:The network public opinion forms rapidly, the influence to the society is enormous. With the rapid development of the Internet in the world, the network media has been recognized as the "fourth media" after newspapers, radio and television. The network has become one of the main carriers reflecting the people's livelihood. Network public opinion plays a more and more important role in social life. Its directness, prominence, deviation make the role of network public opinion double-edged sword more and more obvious. In order to strengthen the network management and monitoring, how to better carry out the monitoring, tracking and analysis of network public opinion information has become the most important practical problem that the government, enterprises, schools and other institutions are facing. The network public opinion monitoring and tracking system can realize the automatic real-time collection and analysis of mass public opinion information in the network, and effectively solve the difficult problem of monitoring, tracking and analyzing public opinion in the traditional manual way. The traditional hot spot tracking algorithm of network public opinion based on text clustering, when dealing with massive web pages, the speed of text clustering is too low, and the aggregation result is poor. This paper proposes a hot spot tracking scheme based on keyword extraction, and designs a hot spot analysis model according to the different characteristics of Weibo, news, forum and blog. The experiment on the woodpecker network public opinion monitoring and tracking system developed by the author shows that the scheme is effective and the hot spot analysis model has high accuracy rate of hot spot recognition. The biggest difference between online public opinion monitoring and traditional search engine lies in its timeliness, lag information is of no value. Timeliness includes two aspects: the timeliness of collection and the high efficiency of information analysis. In this paper, firstly, according to the rank of influence, we select the limited mainstream authoritative sites as the primary information collection source, make full use of the limited resources, and finally improve the efficiency of monitoring. Finally, according to the development of the network, this paper presents a specific application system, woodpecker public opinion monitoring and tracking system. This paper introduces the problems in the process of system construction in the area of network public opinion monitoring in recent years and the train of thought to solve the specific problems, and analyzes the objectives and principles of the design and construction in an all-round way. At the same time, the detailed function of each function and its final realization are expounded in detail, and some contributions are made for timely and accurate warning of network emergencies and comprehensive response analysis.
【學(xué)位授予單位】：河北大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2013
【分類號(hào)】：TP391.1;G206

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