<?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>2683-2690</journal-id>
<journal-title><![CDATA[The Anáhuac journal]]></journal-title>
<abbrev-journal-title><![CDATA[The Anáhuac j.]]></abbrev-journal-title>
<issn>2683-2690</issn>
<publisher>
<publisher-name><![CDATA[Universidad Anáhuac del Sur S.C., Facultad de Economía y Negocios]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S2683-26902024000100222</article-id>
<article-id pub-id-type="doi">10.36105/theanahuacjour.2024v24n1.08</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[The Impact of the Social Media Sentiment Index on S&amp;P500 Returns]]></article-title>
<article-title xml:lang="es"><![CDATA[El índice de sentimiento en las redes sociales y su impacto en los rendimientos del S&amp;P 500]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Gordillo Martínez]]></surname>
<given-names><![CDATA[Lizeth]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Instituto Tecnológico y de Estudios Superiores de Monterrey EGADE Business School ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Mexico</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>24</volume>
<numero>1</numero>
<fpage>222</fpage>
<lpage>245</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S2683-26902024000100222&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S2683-26902024000100222&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S2683-26902024000100222&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract The study of the development and analysis of sentiment indexes through social media is a recent technique that has captured interest because it can identify stock price tendencies. Also, using artificial intelligence to quickly analyze large volumes of data from various information sources has created a new way of evaluating massive amounts of information from social media. Natural language processing (NLP) is the preferred method for this research. Originating in the 1950s, NLP emerged at the junction of artificial intelligence and linguistics. Initially, it was used to retrieve information in text. It uses methods based on statistics to effectively index and search large sections of text.]]></p></abstract>
<abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen El estudio de la construcción y el análisis de índices de sentimiento en redes sociales es una técnica reciente que ha captado interés por su capacidad para identificar tendencias en los precios de las acciones. Además, la aplicación de inteligencia artificial para analizar rápidamente grandes volúmenes de datos de diversas fuentes de información ha creado una nueva forma de evaluar información masiva de redes sociales. El procesamiento del lenguaje natural (NLP, por sus siglas en inglés) es el método preferido que se sigue en la investigación. Originado en los años cincuenta, el NLP surgió de la intersección entre la inteligencia artificial y la lingüística. En un comienzo se empleó para recuperar información textual, con métodos basados en estadísticas para indexar y buscar de manera eficaz en grandes secciones de texto.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[Twitter]]></kwd>
<kwd lng="en"><![CDATA[social media]]></kwd>
<kwd lng="en"><![CDATA[natural language processing]]></kwd>
<kwd lng="en"><![CDATA[sentiment analysis]]></kwd>
<kwd lng="en"><![CDATA[artificial intelligence]]></kwd>
<kwd lng="en"><![CDATA[news]]></kwd>
<kwd lng="es"><![CDATA[Twitter]]></kwd>
<kwd lng="es"><![CDATA[redes sociales]]></kwd>
<kwd lng="es"><![CDATA[procesamiento del lenguaje natural]]></kwd>
<kwd lng="es"><![CDATA[análisis de sentimiento]]></kwd>
<kwd lng="es"><![CDATA[inteligencia artificial]]></kwd>
<kwd lng="es"><![CDATA[noticias]]></kwd>
</kwd-group>
</article-meta>
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