Big Data Analytics Processing Solution
Program Description
Every day, Chinese netizens produce massive amounts of data in real time through the interaction of people and people, people and platforms, and platforms and platforms. When these data are aggregated together, a series of valuable information such as netizens' current emotions, behaviors, concerns and interests, places of belonging, paths of movement, and social relationship chains can be obtained.
The traces left by hundreds of millions of Internet users in real time can truly reflect the world at the moment. At the micro level, we can see what individuals are thinking and doing, and spot weak signals of public opinion in time. At the macro level, we can see what is happening in China, what is going to happen, and why. Through this, we can observe the overall trend of public opinion, and have a clear view of the situation.
Originally scattered and isolated information has relevance through analysis and mining, stimulating intelligent perception, sensing users' real attitudes and needs, and assisting the government in smart cities, and enterprises in brand communication, product word-of-mouth, marketing analysis, and so on.
The so-called saving for a rainy day is better than taking precautions, and the best way to deal with public opinion is to keep it from happening. In addition to identifying problems in time, big data can also help us predict the future. Specifically for public opinion services, in addition to data collection and data analysis of public opinion cases, public opinion staff can also continuously enhance the analysis and prediction of related public opinion information through big data, expand the focus of the service from purely collecting effective data to in-depth research and judgment of public opinion, and refine the relevant laws and characteristics of public opinion through big data analysis of historical data of the same type of public opinion events and other factors affecting the evolution of public opinion. The rules and characteristics of public opinion.
Public opinion management in the era of big data is no longer limited to crisis resolution, but rather sorts out the various conditions and factors that may lead to a crisis, as well as the key nodes and measurement indexes that transform negative information into public opinion events, enhances our knowledge and understanding of the same type of public opinion events, and helps us to predict the future more accurately.
Lead innovative management with big data. Both the government's management of public **** affairs and the management decisions of enterprises need to speak with data. When government departments introduce social norms and policies, using big data for analysis can avoid the subjectivity, one-sidedness and limitations brought about by personal will, can reduce the bias brought about by the lack of data support, and reduce the risk of decision-making. Through big data mining and analysis technology, social governance challenges can be targeted; providing refined services and management for different social segments. The government and enterprises should establish a mechanism for the *** enjoyment and open utilization of database resources, break down the "information silos" between departments, and strengthen interactive feedback. By building databases in related fields and basic databases of public opinion, fully integrating external Internet data and users' own business data, and through data fusion, carrying out correlation and analysis of multi-dimensional data to improve the decision-making process and normalize data-driven social decision-making and scientific governance, this is an extension of the service of public opinion management in the era of big data.
Solving the key
How to quickly find the required information, collection is the most important part of big data value mining, and its subsequent integration, analysis, and management are all built on the basis of collection. The collection subsystem and analysis subsystem of Dorec's Public Opinion Data Analyzing Station can categorize the list of hot topics, the number of posts, the number of comments, the number of authors, and the list of sensitive topics with automatic abstraction, Automatic keyword extraction, trend charts for each category; in news category report identification and analysis categorization: title, source, posting time, content, number of clicks, commenter, comment content, number of comments, etc.; in forum category report identification and analysis categorization: title of the post, spokesperson, posting time, content, content of the repost, number of reposts, etc.
Solutions
Dorec's Public Opinion Data Analysis Station System has a self-built independent big data center, with servers centrally collecting news, forums, microblogs, and other types of Internet data in real time 24 hours a day, with hundreds of billions of data volume of data indexing, mining analysis, and storage capabilities to support the government, businesses, media, finance, public security, and other multi-industry users of public opinion analysis cloud services. It supports cloud services for public opinion analysis for government, enterprises, media, finance, public security and other industries. Therefore, Dorec's Public Opinion Data Analysis Station system has a natural advantage in this regard, and is the only way to solve the contradiction between the quantity of information and the efficiency of obtaining information (valuable). The system utilizes a variety of data mining techniques that will produce results that cannot be replaced by manual labor, and saves huge human resources and financial expenditures for market research work.
Implementation Benefits
The Dorico Public Opinion Data Analysis Station system can mine and analyze the massive behavioral data generated by the research subjects on the Internet through real-time monitoring and tracking of big data to reveal regularities and propose research conclusions and countermeasures.