[News Report Public Opinion Monitoring] How to Use Internet Big Data for Precision Marketing

  • MITONG
  • 2026-02-22
  • 1,754

Breach of Contract Public Opinion Analysis: How to Conduct Precision Marketing with Internet Big Data

Data Analysis and Processing Solutions – Solution Overview

Every day, Chinese Internet users generate massive real-time data through interactions between people, between users and platforms, and between platforms themselves. Aggregated together, these data reveal valuable insights into netizens’ current sentiments, behaviors, focuses, interests, regions of origin, mobile trajectories, social networks and more.

The real-time digital footprints left by hundreds of millions of Internet users truly reflect the current state of the world. At the micro level, we can understand what individuals are thinking and doing, and detect weak signals of public opinion in a timely manner. At the macro level, we can observe what is happening in the country, what is about to happen, and why. This allows us to grasp the overall trend of public opinion with clear insight.

Originally scattered and isolated information becomes correlated through analysis and mining, enabling intelligent perception of users’ real sentiments and demands. This supports governments in smart city initiatives and enterprises in brand marketing, product reputation management and marketing analysis.

As the saying goes, “Prevent trouble before it arises.” The best public opinion response is to prevent incidents from occurring in the first place. Beyond identifying problems early, big data helps us predict trends. In practical public opinion services, analysts can not only collect and analyze individual public opinion cases but also use big data to improve the analysis and forecasting of related public opinion information. The focus of services shifts from simple data collection to in-depth judgment of public opinion. Through statistical analysis of historical data of similar incidents and other factors affecting their evolution, patterns and characteristics of public opinion can be summarized.

Public opinion management in the big data era goes beyond crisis response: it identifies various conditions and factors that may trigger crises, as well as key nodes and indicators where negative information escalates into public opinion incidents. This deepens understanding of similar events and supports more accurate trend forecasting.

Driving management innovation with big data. Both government public administration and corporate management decisions must be data-driven. When governments formulate social norms and policies, big data analysis reduces subjectivity, blindness and limitations caused by personal will, minimizes errors from insufficient data support and lowers decision-making risks. Through big data analysis and mining technologies, social governance challenges can be addressed in a targeted manner.

Refined services and management can be provided for different segmented social groups. Governments and enterprises should establish mechanisms for data resource sharing and open application, break down “data silos” between departments and improve interaction and feedback. By building databases for related fields and basic public opinion databases, external Internet data and internal business data can be fully integrated. Multi-dimensional correlation analysis through data convergence optimizes decision-making processes and institutionalizes data-driven social decision-making and scientific governance — an extension of big data-era public opinion management in service delivery.

Key to Solutions

Efficient information collection is the most critical part of unlocking big data value, as integration, analysis and management all depend on it. The collection and analysis subsystems of the Duoweisite Public Opinion Data Analysis Platform can classify hot topic lists, post volumes, comment counts, author counts, sensitive word lists, automatic summarization, automatic keyword extraction and trend charts for various categories.

For news reports, it identifies and categorizes: title, source, release time, content, clicks, commenters, comment content and comment volume.
For forum posts, it identifies and categorizes: post title, speaker, release time, content, replies and reply volume.

Solutions

The Duoweisite Public Opinion Data Analysis Platform features an independent cloud data center, with servers performing 24/7 real-time collection of online data from news, forums, Weibo and other channels. It supports hundreds of billions of data records in indexing, mining, analysis and storage, providing public opinion analysis cloud services for government, enterprise, media, finance, public security and other industries.

The platform therefore has inherent advantages in this field and offers the only solution to the conflict between information volume and efficient acquisition of valuable content. By applying various big data mining technologies, it achieves irreplaceable effects over manual work and saves huge human and financial resources for market research.

Implementation Benefits

The Duoweisite Public Opinion Data Analysis Platform monitors big data in real time, tracks massive behavioral data generated by research subjects online, conducts mining and analysis, reveals patterns, and puts forward scientific conclusions and countermeasures.


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