{"id":28702,"date":"2024-07-04T13:01:48","date_gmt":"2024-07-04T13:01:48","guid":{"rendered":"https:\/\/www.9h05.com\/?page_id=28702"},"modified":"2024-07-04T14:23:55","modified_gmt":"2024-07-04T14:23:55","slug":"textometria","status":"publish","type":"page","link":"https:\/\/www.9h05.com\/es\/glosario\/textometria\/","title":{"rendered":"Textometr\u00eda"},"content":{"rendered":"<div class=\"tmpl-call_to_action-3 boldgrid-section dynamic-gridblock background-scroll\" style=\"color: #1d1d1d; background-position: 50% 50%; background-size: cover; background-image: linear-gradient(to left, #4776e6, #8e54e9);\" data-bg-overlaycolor=\"rgba(238, 238, 238, 0.8)\" data-bg-color-1=\"#4776E6\" data-bg-color-2=\"#8E54E9\" data-bg-direction=\"to left\">\n<div class=\"container\">\n<div class=\"row\" style=\"padding-top: 40px; padding-bottom: 0px;\">\n<div class=\"col-md-8 col-sm-8 col-xs-12 col-lg-8\">\n<p class=\"\"><a href=\"https:\/\/www.9h05.com\/es\/glosario\/\"><span style=\"color: #ffffff;\">\u293e&nbsp;Volver al glosario<\/span><\/a><\/p>\n<h2 class=\"\" style=\"text-align: right; font-family: 'Cormorant SC'; font-weight: 600; color: rgba(255, 255, 255, 0.92); font-size: 42px;\" data-font-family=\"Cormorant SC\" data-font-weight=\"600\" data-font-style=\"\">Glosario<\/h2>\n<h2 class=\"h1\" style=\"margin: 30px 0px; color: rgba(255, 255, 255, 0.92);\">Textometr\u00eda<\/h2>\n<p class=\"\"><span style=\"color: #ffffff;\">La textometr\u00eda es un campo interdisciplinario que combina la ling\u00fc\u00edstica, la estad\u00edstica y la inform\u00e1tica para el an\u00e1lisis cuantitativo y cualitativo de textos. Este enfoque permite estudiar las caracter\u00edsticas y patrones ling\u00fc\u00edsticos en grandes vol\u00famenes de datos textuales mediante t\u00e9cnicas y herramientas computacionales. La textometr\u00eda se utiliza para explorar aspectos como la frecuencia de palabras, la coocurrencia de t\u00e9rminos, la estructura sint\u00e1ctica, y las redes sem\u00e1nticas en los textos.<\/span><\/p>\n<\/div>\n<div class=\"col-md-4 col-sm-4 col-xs-12 align-column-center col-lg-4\">\n<p class=\"\" style=\"text-align: center;\">&nbsp;<\/p>\n<\/div>\n<\/div>\n<div class=\"row\" style=\"padding-top: 40px; padding-bottom: 40px;\">\n<div class=\"col-lg-2 col-md-12 col-sm-12 col-xs-12\"><\/div>\n<div class=\"col-md-8 col-sm-8 col-xs-12 col-lg-10\">\n<h3 class=\"\"><span style=\"color: #ffffff;\">Componentes claves de la textometr\u00eda<\/span><\/h3>\n<ol class=\"\">\n<li><span style=\"color: #ffffff;\"><strong>An\u00e1lisis estad\u00edstico<\/strong>:<\/span>\n<ul>\n<li><span style=\"color: #ffffff;\"><strong>Frecuencia de palabras<\/strong>: Conteo y an\u00e1lisis de la frecuencia con que aparecen palabras o frases espec\u00edficas en un texto.<\/span><\/li>\n<li><span style=\"color: #ffffff;\"><strong>Distribuci\u00f3n de palabras<\/strong>: Estudio de c\u00f3mo se distribuyen las palabras a lo largo del texto.<\/span><\/li>\n<li><span style=\"color: #ffffff;\"><strong>Coocurrencia<\/strong>: An\u00e1lisis de la proximidad y asociaci\u00f3n de palabras dentro de los textos.<\/span><\/li>\n<\/ul>\n<\/li>\n<li><span style=\"color: #ffffff;\"><strong>Procesamiento del lenguaje natural (NLP)<\/strong>:<\/span>\n<ul>\n<li><span style=\"color: #ffffff;\"><em><strong>Tokenizaci\u00f3n<\/strong>:<\/em> Divisi\u00f3n de un texto en unidades b\u00e1sicas como palabras o frases.<\/span><\/li>\n<li><span style=\"color: #ffffff;\"><strong>Lematizaci\u00f3n y <em>stemming<\/em><\/strong>: Reducci\u00f3n de palabras a sus formas base o ra\u00edces.<\/span><\/li>\n<li><span style=\"color: #ffffff;\"><strong>An\u00e1lisis de sentimiento<\/strong>: Determinaci\u00f3n de las emociones o actitudes expresadas en el texto.<\/span><\/li>\n<\/ul>\n<\/li>\n<li><span style=\"color: #ffffff;\"><strong>Visualizaci\u00f3n de datos<\/strong>:<\/span>\n<ul>\n<li><span style=\"color: #ffffff;\"><strong>Nubes de palabras<\/strong>: Representaciones visuales de la frecuencia de palabras en un texto.<\/span><\/li>\n<li><span style=\"color: #ffffff;\"><strong>Diagramas de red<\/strong>: Visualizaci\u00f3n de la relaci\u00f3n y coocurrencia de t\u00e9rminos.<\/span><\/li>\n<li><span style=\"color: #ffffff;\"><strong>Gr\u00e1ficos de frecuencia<\/strong>: Gr\u00e1ficos que muestran la frecuencia de aparici\u00f3n de palabras o frases a lo largo del texto.<\/span><\/li>\n<\/ul>\n<\/li>\n<li><span style=\"color: #ffffff;\"><strong>Aplicaciones<\/strong>:<\/span>\n<ul>\n<li><span style=\"color: #ffffff;\"><strong>An\u00e1lisis literario<\/strong>: Estudio de obras literarias para identificar estilos, temas y patrones ling\u00fc\u00edsticos.<\/span><\/li>\n<li><span style=\"color: #ffffff;\"><strong>Investigaci\u00f3n en ciencias sociales<\/strong>: An\u00e1lisis de discursos, art\u00edculos, y otros textos para estudiar fen\u00f3menos sociales y culturales.<\/span><\/li>\n<li><span style=\"color: #ffffff;\"><strong>Marketing y negocios<\/strong>: An\u00e1lisis de opiniones de clientes, rese\u00f1as y comentarios en redes sociales para entender mejor las necesidades y percepciones del mercado.<\/span><\/li>\n<\/ul>\n<\/li>\n<\/ol>\n<h3 class=\"\"><span style=\"color: #ffffff;\">Herramientas utilizadas en textometr\u00eda<\/span><\/h3>\n<ul class=\"\">\n<li><span style=\"color: #ffffff;\"><strong>Software de an\u00e1lisis estad\u00edstico<\/strong>: R, Python (con bibliotecas como NLTK, spaCy, y scikit-learn).<\/span><\/li>\n<li><span style=\"color: #ffffff;\"><strong>Plataformas de an\u00e1lisis de texto<\/strong>: Voyant Tools, TextStat, y herramientas personalizadas de miner\u00eda de textos.<\/span><\/li>\n<\/ul>\n<p class=\"\"><span style=\"color: #ffffff;\">Uno de los campos con mayor posibilidades en textometr\u00eda es la ling\u00fc\u00edstica forense: el an\u00e1lisis textom\u00e9trico permite atribuir con cierto grado de confianza la autor\u00eda de textos a determinada persona a partir de un an\u00e1lisis comparativo de corpus de texto.<\/span><\/p>\n<p class=\"\">&nbsp;<\/p>\n<p class=\"\">&nbsp;<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"color2-background-color color-2-text-contrast bg-background-color tmpl-text-2 boldgrid-section dynamic-gridblock\">\n<div class=\"container\"><\/div>\n<\/div>\n<div class=\"boldgrid-section\">\n<div class=\"container\">\n<div class=\"row\">\n<div class=\"col-lg-12 col-md-12 col-xs-12 col-sm-12\">\n<p class=\"\">&nbsp;<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"boldgrid-section\">\n<div class=\"container\">\n<div class=\"row\">\n<div class=\"col-lg-12 col-md-12 col-xs-12 col-sm-12\"><\/div>\n<\/div>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>\u293e&nbsp;Volver al glosario Glosario Textometr\u00eda La textometr\u00eda es un campo interdisciplinario que combina la ling\u00fc\u00edstica, la estad\u00edstica y la inform\u00e1tica para el an\u00e1lisis cuantitativo y cualitativo de textos. Este enfoque permite estudiar las caracter\u00edsticas y patrones ling\u00fc\u00edsticos en grandes vol\u00famenes de datos textuales mediante t\u00e9cnicas y herramientas computacionales. La textometr\u00eda se utiliza para explorar aspectos [&hellip;]<\/p>\n","protected":false},"author":9,"featured_media":0,"parent":28610,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"template\/page\/fullwidth.php","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"default","adv-header-id-meta":"","stick-header-meta":"default","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"yst_prominent_words":[],"class_list":["post-28702","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/www.9h05.com\/es\/wp-json\/wp\/v2\/pages\/28702","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.9h05.com\/es\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.9h05.com\/es\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.9h05.com\/es\/wp-json\/wp\/v2\/users\/9"}],"replies":[{"embeddable":true,"href":"https:\/\/www.9h05.com\/es\/wp-json\/wp\/v2\/comments?post=28702"}],"version-history":[{"count":3,"href":"https:\/\/www.9h05.com\/es\/wp-json\/wp\/v2\/pages\/28702\/revisions"}],"predecessor-version":[{"id":28719,"href":"https:\/\/www.9h05.com\/es\/wp-json\/wp\/v2\/pages\/28702\/revisions\/28719"}],"up":[{"embeddable":true,"href":"https:\/\/www.9h05.com\/es\/wp-json\/wp\/v2\/pages\/28610"}],"wp:attachment":[{"href":"https:\/\/www.9h05.com\/es\/wp-json\/wp\/v2\/media?parent=28702"}],"wp:term":[{"taxonomy":"yst_prominent_words","embeddable":true,"href":"https:\/\/www.9h05.com\/es\/wp-json\/wp\/v2\/yst_prominent_words?post=28702"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}