公安輿情監(jiān)控系統(tǒng)設(shè)計(jì)與實(shí)現(xiàn)
本文關(guān)鍵詞: 網(wǎng)絡(luò)輿情 公安 Java B/S 出處:《電子科技大學(xué)》2013年碩士論文 論文類型:學(xué)位論文
【摘要】:隨著互聯(lián)網(wǎng)的普及和應(yīng)用,網(wǎng)絡(luò)媒介已成為繼報(bào)刊、廣播、電視三大新聞媒介之后的“第四媒介”,具有傳統(tǒng)媒介無(wú)法比擬的交互性、無(wú)界性和開(kāi)放性。近年來(lái)發(fā)生的頻率越來(lái)越高的群體性事件,使公安工作面臨著相當(dāng)大的壓力。幾乎每起群體事件背后,都有互聯(lián)網(wǎng)上的輿情在發(fā)揮著推波助瀾的作用。及時(shí)、迅速、準(zhǔn)確地搜集和研判各種媒體,搶占輿論制高點(diǎn),及時(shí)作出反饋和正面引導(dǎo),向決策機(jī)關(guān)及時(shí)報(bào)告預(yù)警信息,有效消弭各種可能引發(fā)群體性事件的消極因素,迅速控制并平息各種不良事態(tài),是近年來(lái)擺在各級(jí)公安機(jī)關(guān)面前的新課題。 網(wǎng)絡(luò)輿情監(jiān)控系統(tǒng)涉及技術(shù)領(lǐng)域跨學(xué)科,綜合應(yīng)用比較復(fù)雜,主要包括搜索引擎技術(shù)、語(yǔ)義分析技術(shù)、中文信息檢索技術(shù)、概率學(xué)、統(tǒng)計(jì)學(xué)。 在系統(tǒng)設(shè)計(jì)時(shí)主要采用文獻(xiàn)研究和現(xiàn)實(shí)需求結(jié)合的調(diào)研方法,首先,分析公安網(wǎng)絡(luò)輿情監(jiān)控分析系統(tǒng)所需要應(yīng)用的所有部門,如網(wǎng)監(jiān)處、政治處、刑偵支隊(duì)等,通過(guò)召開(kāi)動(dòng)員會(huì)、座談會(huì)及下發(fā)需求調(diào)查問(wèn)卷,了解各部門的職責(zé)及具體需求情況,將需求信息進(jìn)行搜集和整理。 確定公安輿情監(jiān)控系統(tǒng)的主要功能為:系統(tǒng)24小時(shí)不間斷對(duì)監(jiān)控網(wǎng)站的信息挖掘、智能分析工作,從中自動(dòng)分析出公安部門所需要的有用信息,并開(kāi)發(fā)出友好的邏輯功能與界面,為公安部門全面服務(wù)和應(yīng)對(duì)涉警輿情的應(yīng)急指導(dǎo)決策、提高社會(huì)綜合治安整治工作與社會(huì)維穩(wěn)工作提供技術(shù)支持。 在系統(tǒng)實(shí)現(xiàn)過(guò)程中,根據(jù)軟件開(kāi)發(fā)理論與信息系統(tǒng)開(kāi)發(fā)理論進(jìn)行分析。根據(jù)第一階段需求調(diào)研后的結(jié)果,整理后對(duì)系統(tǒng)設(shè)計(jì)與開(kāi)發(fā)進(jìn)行內(nèi)容規(guī)劃、確定目標(biāo)。并結(jié)合與我廳信通處技術(shù)專家及專業(yè)技術(shù)公司得出的系統(tǒng)可行性分析,分析本系統(tǒng)所涉及的關(guān)鍵技術(shù)、實(shí)現(xiàn)方法,并設(shè)定其開(kāi)發(fā)平臺(tái)及運(yùn)行環(huán)境。 確定本系統(tǒng)采用分布式的系統(tǒng)架構(gòu)來(lái)獲得對(duì)互聯(lián)網(wǎng)海量數(shù)據(jù)的按需獲取能力與存儲(chǔ)要求,確定采用Java語(yǔ)言開(kāi)發(fā),系統(tǒng)框架為S2+S+H(Struts2+Spring2.5+Hibernate3.2),,前臺(tái)信息檢索采用全文檢索,服務(wù)器中間件為Tomcat6.0,采用MS SQL數(shù)據(jù)庫(kù)。
[Abstract]:With the popularization and application of the Internet, the network media has become the "4th media" after the three major news media, newspaper, radio and television, which has the interaction that the traditional media can not compare. Unbounded and open. In recent years, the frequency of group incidents is increasing, making the public security work faced with considerable pressure. Almost every group event behind. Public opinion on the Internet is playing a role. Timely, rapid, accurate collection and evaluation of various media, seize the commanding height of public opinion, timely feedback and positive guidance. It is a new task for public security organs at all levels in recent years to report early warning information to policy-making organs, effectively eliminate all kinds of negative factors that may lead to mass incidents, and quickly control and quell all kinds of undesirable situations. The network public opinion monitoring system involves the technical field interdisciplinary, the synthesis application is quite complex, mainly includes the search engine technology, the semantic analysis technology, the Chinese information retrieval technology, the probability, the statistics. In the system design mainly uses the literature research and the reality demand union investigation method, first, analyzes the police network public opinion monitoring and analysis system needs to apply all the departments, such as the network supervision office, the political office. Criminal investigation detachment and so on, through the convening mobilization meeting, the forum and the dispatch demand questionnaire, understands each department's duty and the concrete demand situation, collects and collates the demand information. Determine the main functions of the public opinion monitoring system is: the system 24 hours on the monitoring website information mining, intelligent analysis work, from which to automatically analyze the useful information required by the public security department. The friendly logic function and interface are developed to provide technical support for the public security department to provide comprehensive service and emergency guidance and decision to deal with the police public opinion, and to improve the comprehensive public security and social stability. In the process of the system implementation, according to the software development theory and information system development theory analysis. According to the results of the first stage of demand research, collate the system design and development of content planning. With the analysis of the feasibility of the system with the technical experts and professional technology companies, the paper analyzes the key technology involved in the system, the realization method, and sets up its development platform and operating environment. It is determined that the system adopts the distributed system architecture to obtain the on-demand access and storage requirements of the massive data on the Internet, and the Java language is adopted to develop the system. The frame of the system is S 2S / Hu Struts2 Spring2.5 hibernate 3.2, and the front information retrieval adopts full text retrieval. Server middleware is Tomcat 6.0. MS SQL database is used.
【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)】:TP277
【參考文獻(xiàn)】
相關(guān)期刊論文 前10條
1 楊軍;張媛;;網(wǎng)絡(luò)環(huán)境下政府危機(jī)信息管理的新思路[J];重慶工學(xué)院學(xué)報(bào)(社會(huì)科學(xué)版);2007年11期
2 李旭東;;論國(guó)際社會(huì)的怨恨心理與和諧世界的構(gòu)建——一種基于社會(huì)心理學(xué)視角的分析[J];國(guó)際論壇;2008年01期
3 王鵬;張永奎;張彥;劉睿;;基于新聞網(wǎng)頁(yè)主題要素的網(wǎng)頁(yè)去重方法研究[J];計(jì)算機(jī)工程與應(yīng)用;2007年28期
4 李效東,顧毓清;基于DOM的Web信息提取[J];計(jì)算機(jī)學(xué)報(bào);2002年05期
5 周立柱;賀宇凱;王建勇;;情感分析研究綜述[J];計(jì)算機(jī)應(yīng)用;2008年11期
6 王細(xì)薇;樊興華;趙軍;;一種基于特征擴(kuò)展的中文短文本分類方法[J];計(jì)算機(jī)應(yīng)用;2009年03期
7 蔡月紅;朱倩;孫萍;程顯毅;;基于屬性選擇的半監(jiān)督短文本分類算法[J];計(jì)算機(jī)應(yīng)用;2010年04期
8 吳平博,陳群秀,馬亮;基于特征串的大規(guī)模中文網(wǎng)頁(yè)快速去重算法研究[J];中文信息學(xué)報(bào);2003年02期
9 黃曉斌;趙超;;文本挖掘在網(wǎng)絡(luò)輿情信息分析中的應(yīng)用[J];情報(bào)科學(xué);2009年01期
10 李昌祖;;論加強(qiáng)政府網(wǎng)絡(luò)輿論引導(dǎo)能力建設(shè)[J];上海黨史與黨建;2008年11期
本文編號(hào):1442121
本文鏈接:http://sikaile.net/kejilunwen/sousuoyinqinglunwen/1442121.html