Most current projections of carbon emissions are based on structural data such as the economy, population, and technology. However, unstructured data will also have a certain impact on carbon emission prediction, such as public attitude and government policy intensity. Now how do you measure most unstructured data? What is the basis for the change in the unstructured data if the scenario analysis is followed?
Chuck A Arize
Carbon emission projections can be incorporated into unstructured data through various methods such as natural language processing (NLP) to analyze textual reports, sentiment analysis on news articles, or topic modeling on social media discussions.
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