With the rapid development of new technologies such as mobile Internet and Internet of Things, mankind has entered the data era. The information storm brought by big data is profoundly changing our life, work and way of thinking, and it also has a profound impact on network public opinion management. I. New Situation Faced by Network Public Opinion Management in the Era of Big Data Big data means that there is a huge increase in the amount of data that human beings can analyze and use, and the difficulty of effectively managing and navigating the massive amount of data is growing, so network public opinion management is facing brand-new opportunities and challenges. The Internet is a magical big network, big data development and software customization is also a mode, here to provide the most detailed offer, if you really want to do it, you can come here, the beginning number of this hand technique is one eighty-seven in the middle of the three children zero last is one four two five zero, according to the order of the combination can be found, would like to say that, unless you want to do or understand this aspect of the contents of the content, if you are just hilarious, do not come! I'd like to say that unless one wants to do or understand this aspect of the content, one should not come if one is just getting along.　　　　1. Big data brings new challenges to network public opinion management. First, the challenge of massive data. It is difficult to control the massive online information, and a large number of correlation and incidental factors make public opinion more complicated and volatile; traditional means and methods of public opinion monitoring and judgment are difficult to be effective, and new technical means and methods are more demanding. Second, the challenge of selective dissemination of information. The contradiction between the limitlessness of online data and the limited ability of netizens to pay attention to it has aggravated the "blind man feeling the elephant" effect of social public opinion. Social media promotes the openness of information and the convenience of communication, and highlights niche communication and personalized communication, which makes it easier for radical views to find "the same kind", thus supporting each other, strengthening and amplifying them, and intensifying the radical sentiment of public opinion. Third, the challenge of decentralization of public opinion. In the era of big data, all kinds of data are readily available, and more and more organizations and individuals will spread their conclusions through data mining and analysis, making it increasingly difficult to effectively manage public opinion.　　2. Big data brings new opportunities for online public opinion management. First, it expands the field of online public opinion management. In the wave of big data, where "everything is quantifiable", the Internet is gradually becoming a "mirror image" of the real world, and the Internet society is increasingly integrated with the real society. Instead, it is necessary to fully grasp the operating laws of online public opinion and its interaction with the real society, and to realize full online and offline linkage and coordinated ****governance. Second, it is to enrich the means of managing online public opinion. Using big data technology, online public opinion can be compared and analyzed in a wider field and over a longer period of time, so as to more accurately grasp the characteristics of netizens' emotions, predict the development trend of public opinion, and improve the effectiveness of public opinion management. Third, it promotes theoretical research on online public opinion. With the help of big data analysis, the perspectives of public opinion research will be more diversified and precise, changing the current awkward academic reality of public opinion research, which is characterized by "policy-oriented, art-oriented, and lack of learning".　　3. Big data puts forward new requirements for online public opinion management. First, it is a shift from focusing on individual cases to overall control. While traditional network public opinion management focuses on the management of major public opinion events on a case-by-case basis, big data can better grasp the overall situation of network public opinion development. Second, the shift from passive response to active prediction. The core of big data is prediction. Through analyzing the huge amount of data, we can discover the hidden subtle relationship behind it, so as to predict the future trend and deploy preventive responses in advance. Third, the shift from qualitative to quantitative management. All relevant information, including netizen comments, emotional changes, social relations, etc., are transformed in quantitative form into standard data that can be calculated and analyzed, and then computed through data models to analyze public opinion dynamics and direction. Innovating network public opinion management with big data thinking To innovate network public opinion management in the era of big data, it is necessary to integrate big data concepts and means throughout and achieve "five combinations".　　1. Closely combine big data and social governance to improve the source management of online public opinion. Online public opinion is essentially a reflection of social sentiment and public opinion, and strengthening online public opinion management means strengthening social governance. We should use the powerful "correlation analysis" capability of big data to build a "cube" of online public opinion data, integrate all aspects of online and offline data, analyze it, and dig out the deep relationship behind online public opinion and social dynamics, so as to realize the close linkage and synchronization between online public opinion management and social governance. To realize the close linkage and synchronized promotion of online public opinion management and social governance.　　2. Closely integrate big data and online government information disclosure to enhance government credibility. Currently, the U.S. government has set up a unified open data portal and provided interfaces for all sectors of society to develop applications for the use of departmental data, which advances governmental information disclosure from the "information level" to the "data level" and opens up a new path for governmental information disclosure. This has opened up a new path for government information disclosure. On the basis of data security, we need to explore the establishment of China's big data open government system, and guide social forces to participate in the mining and use of public **** data, so that the data can maximize its value.　　3. Closely integrate big data and daily public opinion management to improve the overall control of online public opinion. The New York City Police Department has developed the famous ComStat system, which analyzes historical data to draw "crime maps" and predicts the time and place of high crime, thus strengthening police deployment in a targeted manner and achieving great success. This "data-driven" approach has certain significance for online public opinion management. It is necessary to use big data to break through the narrow scope of traditional public opinion management, establish a big data ledger system for online public opinion, record real-time data on websites, blogs, microblogs, WeChat, forums and other online platforms, comprehensively analyze the dynamics of public opinion dissemination, and identify the management priorities, reasonably allocate resources, and improve the management efficacy from the fast-changing public opinion data.　　4. Closely combine big data and emergency response to improve the ability of emergency response to online public opinion. In the era of big data, social emergencies and the Internet are always closely connected and follow each other, and the Internet can become a "fuel" for emergencies as well as a powerful tool for responding to them. It is necessary to establish data models such as the "Public Opinion Quantitative Indicator System" and "Evolutionary Analysis Model" to comprehensively analyze data on the nature of the event, development, communication platforms, the number of viewers, and the tendency of netizens' opinions, so as to quickly and accurately classify the level of public opinion and determine the response measures to solve the traditional problem of classifying public opinion and to solve the traditional problem of classifying public opinion. It can quickly and accurately classify public opinion levels and determine response measures, solve the problems of arbitrariness and lagging in traditional public opinion classification, and achieve scientific research and judgment and rapid disposal.　　5. Closely combine big data and public opinion guidance to improve infectiousness and persuasiveness. Public opinion guidance in the era of big data, on the one hand, we should "follow the number and do", through the analysis of online data, the establishment of netizen opinion tendency analysis model, to understand the netizen's preferences and characteristics, so as to achieve the "good talk, talk dialogue". On the other hand, we should "speak with data". Data is the most persuasive, in order to fully collect relevant data on the basis of the use of charts and other data visualization technology, a comprehensive presentation of the ins and outs of the event, so that netizens not only understand the truth of the incident, but also understand the background of the incident and the history of the lineage, to eliminate the public opinion of the "blind man feeling the elephant" effect, to resolve the radical emotions of netizens, and to achieve objectivity and rationality. C. Promote the construction of a big data public opinion management system with practical and powerful measures We must actively adapt to the development requirements of the big data era, accelerate innovation in terms of institutions and mechanisms, technical means, and human resources, etc., build a perfect network public opinion management system, and continuously improve the scientific, modernized, and digitized level of network public opinion management.　　1. Improve the big data public opinion management system. Data resources are important strategic resources of the country. Currently, there are still problems such as data dispersion, low utilization rate, and low security in China's big data management. It is necessary to introduce a national-level strategic plan for big data as soon as possible, accelerate the process of data legislation, and increase the input of funds, technology, and human resources. It is recommended to establish an Internet big data management system led by the net information department, set up a government chief information officer, coordinate the collection, management and utilization of data in all aspects, formulate a unified data interface standard, break the "data silos" of various industries, and promote the accelerated development of big data in China.　　2. Build a basic platform for big data on online public opinion. Data can produce value only when it is integrated and utilized. At present, there is an urgent need to build a unified and efficient big data foundation platform to realize the unified storage, exchange and interoperability of data from various industries and fields. It is necessary to build China's network data center as soon as possible, to build a national-level Internet big data platform, and to comprehensively gather data from all aspects. Accelerate the introduction of relevant laws and regulations to clarify the rights and obligations of all departments at all levels, including government departments, enterprises and people's organizations, to provide and ****enjoy data to the network data center, so as to make the network data center become the central hub for national data storage and exchange, and to realize the rapid collection, standardized management and efficient use of data.　　3. Strengthening the technical support of big data for network public opinion management. Big data has the advantages of being comprehensive, dynamic and open, as well as the difficulties of low value density and fast dissemination speed, so it is necessary to accelerate the technical research and improve the ability of data "to find gold in the sand". First, data monitoring technology, to achieve the media, forums, blogs, microblogs, microblogging, microblogging, and other network platforms to capture and record the full range of data, in particular, to improve the picture, audio and video data such as automatic identification capabilities. Second, large-scale data storage technology. Build a big data platform with massive storage capacity to realize efficient reading, writing and exchange of large-scale data. The third is data mining technology, which quickly recognizes valuable data from massive data and mines the hidden laws behind the data. Fourth, data analysis technology, including correlation analysis, clustering analysis, semantic analysis, etc., to automatically analyze the opinion tendency and correlation between online comments and reveal the trend of public opinion. Fifth, data security technology, including identity authentication, intrusion detection, network security, etc., to ensure data security.　　4. Grow the network public opinion big data talent team. To coordinate the strength of domestic universities, scientific research units, media organizations, government departments, the opening of specialized data science disciplines, strengthen the cross-training of talents in various disciplines, focusing on the cultivation of comprehensive mastery of statistics, computer science, new media, communication and other aspects of knowledge of the composite talents, to create a large-scale big data talent team, to provide a solid intellectual support for the management of network public opinion talent.