The core problem being addressed by patent US11797779B2, a system and method for generating subjective wellbeing analytics score, is the vast and complex divide between leaders and citizens. Due to this gap, understanding the beliefs and concerns of citizens about various issues can often be an uphill battle for leaders. This can eventually lead to a number of social and economic challenges, which might largely be circumvented if leaders had a precise understanding of their citizens' perspectives.
The current issue arises from an inability within existing computational systems to manage and harness the vast amount of data surrounding this problem. Consequently, leaders often make uninformed decisions, not taking into account the average citizen's viewpoint on critical issues. This can adversely affect various quality of life factors, such as the economy, crime rate, health, and overall happiness.
Solving this issue, patent US11797779B2 offers a novel method. The solution lies within a computer system that analyzes texts from documents and categorizes them based on citizens' feelings, mood or overall wellbeing. These categorized feelings are then scored, giving an overall rating that reflects a collective society's sentiment on particular issues. This can also be used as a key performance indicator for city programs, enabling the identification of trends and monitoring changes over time. Remarkably, it's like grading different students in a school and then giving an overall average grade.
Imagine a world where this issue has been solved. Leaders have accurate and real-time insight into the mood of a city's citizens or perhaps the nation as a whole. They can make informed decisions based on tangible data rather than pure speculation. It's like a weather report - leaders can understand the current emotional climate of their city or country and predict future trends. This helps them anticipate citizens' reactions to policies or world events, leading to proactive and more empathetic governance.
In a practical scenario, authorities in a city could use this system to track how citizens feel about new policy regarding local transportation. After the policy is implemented, they recheck the sentiment scores to see if there was an increase in positive feelings, indicating a successful policy change.
However, with any patent, it is important to note that there's no surety as to whether this technology will make it to the market or not. It is only after thorough testing and validation of its practical viability can we expect to see it in action. So for now, this exciting concept remains confined to the theoretical plane, poised for potential future implementation.