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The United Nations Sustainable Development Goals (SDGs) mark a global roadmap towards a more equitable and sustainable future. However, measuring whether actions documented in the press or in corporate reports truly represent progress or setbacks remains a complex analytical challenge. Simply identifying terms associated with an SDG is not enough: it is necessary to determine the polarity of the content, that is, whether the information reflects progress, stagnation, or even a worsening of the situation. This is where artificial intelligence applied to natural language processing finds a strategic field of application.
Detecting polarity in journalistic texts about SDGs goes beyond binary labeling. It involves understanding semantic nuances, temporal context, and the relationship between actors and outcomes. Large language models (LLMs) have demonstrated the ability to classify texts, but the direction of change —positive or negative— remains a particularly sensitive task. To address this, reference datasets are being developed that combine human annotations with synthetically generated examples, allowing for the training of more robust models. This opens the door to automated monitoring systems that help governments, NGOs, and companies evaluate their real impact.
In this scenario, having artificial intelligence for businesses becomes key. At Q2BSTUDIO we design custom applications that integrate language models, machine learning, and cloud services such as AWS and Azure to process large volumes of unstructured data. Our approach combines the power of AI agents with the flexibility of custom software, enabling the construction of analysis pipelines ranging from news extraction to trend visualization in dashboards with Power BI. Cybersecurity, furthermore, ensures the integrity of the sensitive data handled by these solutions.
The key is not to limit oneself to superficial classification. A professional SDG monitoring system must be able to differentiate between an investment promise and an actual executed project, between an optimistic report and evidence of deterioration. With the right combination of business intelligence services and specifically trained models, actionable insights can be obtained. At Q2BSTUDIO we apply these principles to help organizations transform information into strategic decisions, integrating cloud technologies and visualization tools that make sustainability tangible.
