Big Data Analysis on the Policy Address: Who Cares Most About Land Policy?
In recent times, more and more people in Hong Kong have been paying attention to Big Data Analytics, hoping to use it to observe public opinion and understand netizens' thoughts on current affairs. We will use the Policy Address as an example of Public Opinion Analysis to explore how Big Data Analytics and Social Listening can be employed to identify netizens' opinions. This is especially focused on several policy areas of the Policy Address, observing the level of heated discussion, and explaining how Yuanda's unique mechanism deepens the analysis.
The method adoptedin this article differsfrom the commonly seen analyses.We willdeeply analyze the discussions of netizens,on topicssuch as land and housing, livelihood benefits, and youth policies from the perspective of decision-makers and policy research.。Many big data and social listening tools on the market are technology-driven, aiming for machines to automatically find answers. As a result, their analysis tends to focus on quantitative descriptions, such as trend charts identifying peaks in public opinion or word cloud diagrams. However, are these truly sufficient to aid decision-making?</span>
▶Mr. Cheung Talks Numbers: Utilizing AI to Uncover the Value of Online Opinions ◀
1) Policy Scope Analysis
According to common practice, a simple bar chart can display the distribution across different media. In the chart, the volume of Facebook is significantly higher than that of forums and news, but we are unable to discern the differences in discussion focuses among various social media platforms.
The source emphasizes that analysts can control the angles of analysis, teaching machines to understand the various policy areas frequently mentioned in policy addresses, thereby enhancing the depth of data mining. Advanced charts show that "land and housing" has the highest discussion proportion across various social media platforms. News websites cover all topics, Facebook is relatively more focused on "livelihood benefits," while forums have the narrowest discussion scope, with "elderly care policy" having the highest discussion proportion among all platforms.
This helps researchers in policy studies or public opinion analysis understand which issues netizens are more concerned about or determine on which social media platforms policy promotion should be strengthened.
▶ Mr. Cheung Talks Numbers: Uncovering the Relational Value in Social Big Data◀
2) Analysis of Political Camps
To instantly understand the discussion intensity on social media at different times, a technology-driven approach can automatically generate a basic social media volume trend chart, as shown in the policy address volume trend chart, clearly demonstrating that October 8 was the peak of public opinion.In this simple chart alone, we are unable to determine who is providing the volume and what values they represent.uMax Data uses manual coding to teach machines to distinguish between different political camps. The chart shows that the majority of voices come from the non-establishment/democratic camp, reflecting that this camp, compared to the establishment camp, has a greater reaction and more opinions regarding the policy address. As a result, the same trend chart holds greater value for public opinion analysis and also helps us better understand the meaning behind big data.
uMax Data believes that big data holds greater value. Despite the use of AI (Artificial Intelligence), machines still have various limitations. We believe that human intervention can elevate public opinion analysis and social media monitoring to a higher level. Our self-designed xMiner platform features a unique flexible mechanism that facilitates human-machine collaboration. In text analysis, it is capable of uncovering deeper meanings and insights from textual content, achieving true "speed, breadth, and depth," making it unique in the market.
The source primarily advocates for the use of machine-assisted content analysis methods (Content Analysis). Machines make data collection, storage, processing, and analysis easier. At the same time, by employing human expertise to deeply analyze the meaning of the data, results are elevated from surface-level data to in-depth research. Additionally, depending on the research direction, data can extend into limitless possibilities.
——————
We provide precise data, AI Tools and Innovative Solutions!
uMax Data Technology Limited, founded in Hong Kong in 2016, is an innovative technology company driven by artificial intelligence and data. uMax Data offers a variety of SaaS products and solutions, including Social Intelligence Platform (SIP), on-premises AI server, social listening and online alert systems, all-in-one intelligent research and event management platform, AI search engines, social intelligent customer service platforms, AI Agents and chatbots, brand public opinion insights, social media risk management, and multimodal data processing and digital upgrading solutions. These are collectively known as "Social Intelligence." These products not only enhance enterprise productivity and efficiency but also help businesses make more informed decisions.
Want to analyze customer opinions through online discussions? Understand what netizens are thinking? Emailinfo@umaxdata.com immediately to request related case studies and insight reports.