<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>2448-7678</journal-id>
<journal-title><![CDATA[Investigación administrativa]]></journal-title>
<abbrev-journal-title><![CDATA[Investig. adm.]]></abbrev-journal-title>
<issn>2448-7678</issn>
<publisher>
<publisher-name><![CDATA[Instituto Politécnico Nacional, Escuela Superior de Comercio y Administración]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S2448-76782024000100009</article-id>
<article-id pub-id-type="doi">10.35426/iav53n133.09</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Evaluación de la gestión de la calidad del aire en Guanajuato con procesamiento de lenguaje natural]]></article-title>
<article-title xml:lang="en"><![CDATA[Air Quality Management Evaluation with Natural Language Processing]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Salas-Rodríguez]]></surname>
<given-names><![CDATA[David]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Instituto Tepeyac de León  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>México</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>06</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>06</month>
<year>2024</year>
</pub-date>
<volume>53</volume>
<numero>133</numero>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S2448-76782024000100009&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S2448-76782024000100009&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S2448-76782024000100009&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen El objetivo fue evaluar la Gestión de la Calidad del aire 5 de las 10 ciudades con mayor contaminación del aire en México y que pertenecen al estado de Guanajuato. El método de investigación consistió en medir la información con Inteligencia Artificial orientada con el modelo LART de Gestión ambiental usando el Procesamiento de Lenguaje Natural en las funciones y estrategias para la gestión de la calidad del aire. Se analizó un corpus de 32 enunciados. Como resultado se obtienen una bolsa de 80 palabras y un vocabulario de 82 N-gramas de longitud 1 a 7 para medir la información del proceso de gestión. Los hallazgos revelan que las mejores gestiones están en Celaya, León y Silao de la Victoria. La originalidad del método radica en que la información encontrada por el algoritmo permite validar parcialmente el modelo LART. Se limita a evaluar la gestión y los estudios siguientes se orientarán al desarrollo de un vocabulario más amplio y un corpus mayor para utilizar el modelo W2V que incruste los N-gramas en un modelo n-dimensional.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[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.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[Bolsa de Palabras]]></kwd>
<kwd lng="es"><![CDATA[Calidad del Aire]]></kwd>
<kwd lng="es"><![CDATA[Gestión Ambiental]]></kwd>
<kwd lng="es"><![CDATA[PLN]]></kwd>
<kwd lng="es"><![CDATA[N-grama]]></kwd>
<kwd lng="es"><![CDATA[Guanajuato. México]]></kwd>
<kwd lng="es"><![CDATA[Modelo de Gestión LART]]></kwd>
<kwd lng="en"><![CDATA[Bag Of Words]]></kwd>
<kwd lng="en"><![CDATA[Air Quality]]></kwd>
<kwd lng="en"><![CDATA[Environmental Management]]></kwd>
<kwd lng="en"><![CDATA[Natural Language Processing]]></kwd>
<kwd lng="en"><![CDATA[Guanajuato. México]]></kwd>
</kwd-group>
</article-meta>
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