互聯(lián)網輿情監(jiān)測系統(tǒng)的設計與實現(xiàn)
發(fā)布時間:2018-11-19 09:45
【摘要】:近年來,互聯(lián)網己越來越被社會所關注重視,成為人們工作和生活不可或缺的部分。由于網絡本身具有虛擬性、隱蔽性、隨意性等特點,故人們愿意采用網絡這種渠道來表現(xiàn)其真實的意愿,這對全國各級婦聯(lián)工作以深遠影響。為全面、及時掌握婦聯(lián)工作相關的互聯(lián)網輿情,有必要設計并實現(xiàn)婦聯(lián)互聯(lián)網輿情監(jiān)測系統(tǒng),實施對婦聯(lián)領域網站的實時監(jiān)測,確保相關輿情第一時間被發(fā)現(xiàn),為領導決策提供重要依據(jù)。 建立婦聯(lián)輿情監(jiān)測系統(tǒng)有其法理和法律上的依據(jù),其基本原則是保證網絡言論自由與維護相關利益的平衡,同時建立婦聯(lián)互聯(lián)網輿情監(jiān)測系統(tǒng)須根據(jù)婦聯(lián)部門輿情工作的特點和需求。本文研究了常見的三種互聯(lián)網輿情分析方法及模型:基于主題的網絡輿情分析及模型、基于熱點話題發(fā)現(xiàn)的輿情分析及模型、基于社會網絡分析法的輿情分析及模型,然后結合婦聯(lián)工作特點,選擇基于主題的網絡輿情分析及模型構建婦聯(lián)輿情監(jiān)測模型。本文采用軟件工程的方法對系統(tǒng)進行設計,系統(tǒng)分為信息采集、信息抽取、信息處理、系統(tǒng)管理、用戶、數(shù)據(jù)存儲等六大層。其中,信息采集模塊是發(fā)現(xiàn)需要關注的輿情信息的過程;信息抽取模塊是將敏感信息下載本地,通過網頁析取算法,提取該信息的標題、摘要、正文;信息處理模塊針對提出的正文信息,,通過中文分詞處理,按照分類特征進行分類,然后保存到數(shù)據(jù)庫里,供信息查詢和生成統(tǒng)計分析報告。因此,信息采集層、信息抽取層、信息處理層是設計的重點和難點,本文對此進行模塊化的詳細設計,以確保整個監(jiān)測系統(tǒng)的正常運行,從而實現(xiàn)婦聯(lián)互聯(lián)網輿情監(jiān)測系統(tǒng)的預期目的。 本文利用Python開發(fā)語言和MySQL數(shù)據(jù)庫實現(xiàn)了婦聯(lián)互聯(lián)網輿情監(jiān)測系統(tǒng),對系統(tǒng)的運行效果做了介紹。通過應用分析,系統(tǒng)達到了設計目標,提高了工作效率,大大減輕了工作量,有利于提高婦聯(lián)輿情工作的主動性和有效性。
[Abstract]:In recent years, the Internet has been paid more and more attention to and become an indispensable part of people's work and life. Because the network itself has the characteristics of virtual, hidden and random, people are willing to use the network as a channel to express their true will, which has a profound impact on the work of all levels of women's federations. In order to comprehensively and timely grasp the Internet public opinion related to the work of the Federation of Women, it is necessary to design and implement a monitoring system for Internet public opinion of the Federation of Women's Federation, to implement the real-time monitoring of the website in the field of the Federation of Women, and to ensure that the relevant public opinion is discovered in the first place. To provide an important basis for leadership decisions. The establishment of the Women's Federation's public opinion monitoring system has its legal and legal basis, and its basic principle is to ensure the balance between the freedom of expression on the Internet and the maintenance of related interests. At the same time, the establishment of the Women's Federation Internet public opinion monitoring system should be based on the characteristics and needs of public opinion work. This paper studies three common analysis methods and models of Internet public opinion: the analysis and model of Internet public opinion based on topic, the analysis and model of public opinion based on hot topic discovery, and the analysis and model of public opinion based on social network analysis. Then, according to the characteristics of women's federation, we choose the network public opinion analysis and model based on theme to construct the monitoring model of women's federation public opinion. In this paper, the software engineering method is used to design the system. The system is divided into six layers: information collection, information extraction, information processing, system management, user, data storage and so on. The information collection module is the process of discovering the public opinion information that needs to be concerned; the information extraction module is to download the sensitive information locally and extract the title, summary and text of the information through the web page extraction algorithm. The information processing module deals with the text information by Chinese word segmentation, classifies it according to the classification features, and stores it in the database for information query and statistical analysis report generation. Therefore, the information collection layer, the information extraction layer and the information processing layer are the key and difficult points in the design. In order to ensure the normal operation of the whole monitoring system, the detailed design of modularization is carried out in this paper. In order to achieve the women's Federation of Internet public opinion monitoring system of the expected purpose. In this paper, the Python development language and MySQL database are used to realize the internet public opinion monitoring system of Women's Federation, and the running effect of the system is introduced. Through application analysis, the system achieves the design goal, improves the working efficiency, greatly reduces the workload, and helps to improve the initiative and effectiveness of the public opinion work of the Women's Federation.
【學位授予單位】:湖南大學
【學位級別】:碩士
【學位授予年份】:2014
【分類號】:TP393.092
本文編號:2341914
[Abstract]:In recent years, the Internet has been paid more and more attention to and become an indispensable part of people's work and life. Because the network itself has the characteristics of virtual, hidden and random, people are willing to use the network as a channel to express their true will, which has a profound impact on the work of all levels of women's federations. In order to comprehensively and timely grasp the Internet public opinion related to the work of the Federation of Women, it is necessary to design and implement a monitoring system for Internet public opinion of the Federation of Women's Federation, to implement the real-time monitoring of the website in the field of the Federation of Women, and to ensure that the relevant public opinion is discovered in the first place. To provide an important basis for leadership decisions. The establishment of the Women's Federation's public opinion monitoring system has its legal and legal basis, and its basic principle is to ensure the balance between the freedom of expression on the Internet and the maintenance of related interests. At the same time, the establishment of the Women's Federation Internet public opinion monitoring system should be based on the characteristics and needs of public opinion work. This paper studies three common analysis methods and models of Internet public opinion: the analysis and model of Internet public opinion based on topic, the analysis and model of public opinion based on hot topic discovery, and the analysis and model of public opinion based on social network analysis. Then, according to the characteristics of women's federation, we choose the network public opinion analysis and model based on theme to construct the monitoring model of women's federation public opinion. In this paper, the software engineering method is used to design the system. The system is divided into six layers: information collection, information extraction, information processing, system management, user, data storage and so on. The information collection module is the process of discovering the public opinion information that needs to be concerned; the information extraction module is to download the sensitive information locally and extract the title, summary and text of the information through the web page extraction algorithm. The information processing module deals with the text information by Chinese word segmentation, classifies it according to the classification features, and stores it in the database for information query and statistical analysis report generation. Therefore, the information collection layer, the information extraction layer and the information processing layer are the key and difficult points in the design. In order to ensure the normal operation of the whole monitoring system, the detailed design of modularization is carried out in this paper. In order to achieve the women's Federation of Internet public opinion monitoring system of the expected purpose. In this paper, the Python development language and MySQL database are used to realize the internet public opinion monitoring system of Women's Federation, and the running effect of the system is introduced. Through application analysis, the system achieves the design goal, improves the working efficiency, greatly reduces the workload, and helps to improve the initiative and effectiveness of the public opinion work of the Women's Federation.
【學位授予單位】:湖南大學
【學位級別】:碩士
【學位授予年份】:2014
【分類號】:TP393.092
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