A Brand-New Way to Fight Against Deforestation Through Natural Language Processing
An unique use of natural language processing for stopping deforestation.
MANA-Vox, an NGO that is based in Nice, France, provides data-driven, up-to-date rankings of corporations’ involvement in environmental issues, beginning with deforestation but with the potential to expand into other areas such as water and air pollution. This information can be used to shape policies: at both government and corporate levels. The goal of the organization is to provide dashboards to non-profits working in the environmental space that can benefit from the information, as well as companies and financial institutions that are lacking this breadth of information.
At its core, the MANA-Vox application uses artificial intelligence (AI) to scour information from trusted sources and categorize that information based on the model on which the system is trained. After initially building a proof-of-concept application that is based on IBM Watson artificial intelligence components, the MANA team turned to the IBM Garage to make the application scalable. These are the core components of the system designed by the team:
A list of trusted sources (social media accounts and web pages) that are scoured daily for any updates, which can include web pages embedded as links in social copy
A natural language analysis engine that is trained on the domain that analyzes the content, pulling out company names and categorizing the content, running on a serverless architecture that can scale down to zero when the application doesn’t need to run
An API-driven front end that can be connected to any dashboard or management interface.
The system analyzes over 1,000 tweets a day, looking at the social post content as well as the content in any links. Typically, only approximately 20 of these are considered relevant by the trained AI system. Doing this work manually can take hours and doesn’t scale well. With an application like MANA-Vox that uses AI, the core code does not need to be rewritten, only the training models updated to understand a new domain such as air or ocean pollution.
Artificial intelligence opens up new potential for creating apps with fresh potential for enacting real social change. As data gets democratized, government and corporate policies can be better informed to help us protect the planet.