Air Quality Management Evaluation with Natural Language Processing.
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Abstract
The objective was to evaluate Air Quality Management in 5 of the 10 cities with the highest air pollution in Mexico and that belong to the state of Guanajuato. The research method consisted of measuring the information with Artificial Intelligence oriented with the LART model of Environmental Management using Natural Language Processing in the functions and strategies for air quality management. A corpus of 32 statements was analyzed. The result was a bag of 80 words and a vocabulary of 82 N-grams with length 1 to 7 that measure the information of the management process. The findings reveal that the best managements are in Celaya, León and Silao de la Victoria. The originality of the method lies in the fact that the information found by the algorithm allows partial validation of the LART model . It is limited to evaluating the management and subsequent studies will focus on the development of a broader vocabulary and a larger corpus to use the W2V model that embeds the N-grams in a n-dimensional model.
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