Governments and Other Organizations Need to Assess Public Opinion Regarding World Events
In order to craft effective and sound policies, Government needs a good understanding of public opinion. To achieve this, there must be an effective and timely way of monitoring public attitudes towards issues of public concern.
Monitoring attitudes is not a simple matter. The on-going Gaza war is a good illustration of the complexity of understanding the public’s attitudes both to the event itself and to associated events such as various countries’ response to it. The types of assessments needed include:
- China has always been an authoritarian regime
- China’s authoritarian regime
- an authoritarian Chinese regime
These three statements mean the same thing. Advanced Entity-Based Sentiment Analysis converts each of these sentiments to the same structured representation of the sentiment, such as:
Sentiment: negative
Predicate: authoritarian
Object: regime
Associated entity: China
This normalization allows sentiments to be aggregated, giving organizations a statistically based view of public attitudes.
The time stamps of the social media posts can be used to provide a view of how public attitudes change over time. This supports a dashboard-style display with specific quantitative evidence of how public attitudes evolve.
Summary
Based on AI techniques, Sentiment Analysis is an effective tool for monitoring public attitudes. It gives a government or other organizations real-time access to what the public thinks about geopolitical events.
