Can DeepSeek bring new momentum to public opinion analysis?
Time: 2025-03-14The integration of the TRS-GPT LLM with DeepSeek has made breakthrough progress in the field of public opinion.
Based on TRS's own billion level public opinion sample corpus, combined with DeepSeek's open-source model capabilities, the technology integration of "data breadth+logical depth" has been achieved, significantly improving the analysis depth and decision-making efficiency in scenarios such as emergency event tracing and hot topic deconstruction, providing cross industry and cross scenario multidimensional analysis for public opinion analysis. In addition, its professional knowledge reserves in vertical fields such as healthcare and finance can achieve integrated services of "public opinion monitoring+business impact assessment", promoting the upgrade of public opinion analysis from data presentation to decision-making. At the same time, DeepSeek has extremely strong reasoning ability, especially in predicting risk transmission paths in complex events, enhancing the foresight of public opinion warning.
Next, we will compare the performance of TRS-GPT LLM with DeepSeek in actual public opinion analysis scenarios, providing more practical reference for users.
1、Data coverage PK
·TRS-GPT LLM: Full media collection, full channel coverage
The TRS-GPT LLM includes omnichannel data from news websites, Weibo, WeChat, self media, electronic newspapers, forums, short videos, etc. It is particularly skilled in deep capture of comment information and dynamic monitoring of overseas information. This extensive source channel provides a reliable data foundation for deep analysis and avoids sample bias.
·DeepSeek: Single channel, but with the advantage of proactive analysis
In contrast, DeepSeek's data sources are single and limited, relying on reports of similar events to estimate the total amount of data, which may lead to blind spots in the public opinion field. But it can actively extend the analysis dimension and further deepen the interpretation of public opinion in the interaction with users' Q&A.
2、Analysis Dimension PK
·TRS-GPT LLM: Multidimensional public opinion analysis, flexible decision-making assistance
TRS-GPT LLM can conduct public opinion analysis from over 70 dimensions, covering core indicators such as time, space, topics, emotions, and behavior. At the same time, TRS-GPT LLM provides a "user-defined" function, effectively improving the accuracy of public opinion decision-making and the ability to adapt to different scenarios.
·DeepSeek:There are misunderstandings and one-sided analysis
Due to limited data resources (such as reliance on media information and insufficient channel coverage), the analysis results are one-sided, making it difficult to provide quantitative conclusions such as proportion statistics and trends in segmented fields. At the same time, DeepSeek analysis results are prone to "irrelevant answers" or key public opinion blind spots (such as lagging overseas information, one sidedness, etc.).
3、reports present PK
·TRS-GPT LLM: Visual report, multi scene adaptation
TRS-GPT LLM Intelligent Report is equipped with a variety of visual charts and supports users to customize and modify chart data. At the same time, TRS-GPT LLM supports the generation of various types including briefings, daily reports, weekly reports, and special reports, which are suitable for different scenarios such as government public opinion, industry research, and brand marketing.
·DeepSeek:Report format and analysis expansion are limited
DeepSeek can only generate pure text reports and lacks visual charts, making it difficult to intuitively present complex information such as data distribution and correlation. In addition, during the public opinion analysis process, DeepSeek requires users to provide specific dimensional instructions such as "propagation path analysis" and "proportion of emotional tendencies", which cannot form progressive associations between different dimensions.
4、Personalized Service PK
·TRS-GPT LLM: Providing personalized and customized services
In the process of generating public opinion reports, users can choose their own analysis dimensions, change the report outline, add keywords and other information, select specific monitoring websites, etc. They can also customize and modify the format and content of the report. In addition, TRS-GPT LLM also supports report push function, which can specify the push frequency and time.
·DeepSeek:Complementarity with other AI
As a powerful AI assistant, DeepSeek not only has outstanding capabilities, but also can collaborate with other AI tools to enhance its functionality or solve more complex problems, demonstrating DeepSeek's innovative ability and application potential in the field of AI.
5、Thinking Logic PK
·TRS-GPT LLM: Logical analysis ability needs to be optimized
During the analysis and thinking process of some instructions, TRS-GPT LLM encountered problems such as time logic confusion and inaccurate capture of core information.
·DeepSeek:More consistent logical thinking
DeepSeek can accurately identify key elements such as time nodes and event correlations. At the same time, DeepSeek can also conduct cross topic correlation thinking based on historical dialogue data.
6、Application Scenario PK
·TRS-GPT LLM: Strong integration of big data and public opinion
As a new generation of cloud service system for online public opinion analysis, TRS-GPT LLM relies on technology frameworks such as big data collection and sentiment analysis to deeply integrate public opinion business scenarios and form professional analysis content.
·DeepSeek:Success lies in empowering the development of multiple industries
DeepSeek excels in fields such as finance, healthcare, education, and government that require specialized knowledge and precise analysis, thanks to its deep understanding of professional knowledge and efficient reasoning ability.
Overall, with its four in one service matrix of "comprehensive, refined, dynamic, and deep", TRS-GPT LLM is superior in the field of public opinion. It has significant advantages in data collection, analysis dimension expansion, user-defined settings, and public opinion report presentation, and has built a smart barrier for government and enterprise users from risk warning to strategic decision-making, demonstrating the benchmark value of public opinion governance in the AI era.