{"id":10,"date":"2019-01-08T17:11:01","date_gmt":"2019-01-08T16:11:01","guid":{"rendered":"http:\/\/sentiart.de\/blog\/?page_id=10"},"modified":"2021-02-26T14:03:44","modified_gmt":"2021-02-26T13:03:44","slug":"introduction","status":"publish","type":"page","link":"https:\/\/sentiart.de\/blog\/introduction\/","title":{"rendered":"Introduction"},"content":{"rendered":"\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"771\" src=\"http:\/\/sentiart.de\/blog\/wp-content\/uploads\/2019\/01\/sa-intro02-1024x771.png\" alt=\"\" class=\"wp-image-12\" srcset=\"https:\/\/sentiart.de\/blog\/wp-content\/uploads\/2019\/01\/sa-intro02-1024x771.png 1024w, https:\/\/sentiart.de\/blog\/wp-content\/uploads\/2019\/01\/sa-intro02-300x226.png 300w, https:\/\/sentiart.de\/blog\/wp-content\/uploads\/2019\/01\/sa-intro02-768x578.png 768w, https:\/\/sentiart.de\/blog\/wp-content\/uploads\/2019\/01\/sa-intro02.png 1600w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<ul class=\"wp-block-list\"><li><em><strong>Computational Poetics<\/strong><\/em>&nbsp;is the scientific perspective that analyses literary texts quantitatively by help of state-of-the-art NLP and machine learning methods.<\/li><li>Its goal is to understand which text features drive the fluent, immersive or dysfluent, reflective reading of narratives and poetry (cf. Jacobs, 2015, 2018).<\/li><li>It focuses on affective-aesthetic features (e.g., Emotion, Immersion and Aesthetic Potential) in their dynamic interaction with cognitive aspects (e.g., processing fluency, syntactic complexity, readability; cf. Jacobs et al., 2017).<\/li><\/ul>\n<\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"859\" src=\"http:\/\/sentiart.de\/blog\/wp-content\/uploads\/2019\/01\/sa-intro01-1024x859.png\" alt=\"\" class=\"wp-image-11\" srcset=\"https:\/\/sentiart.de\/blog\/wp-content\/uploads\/2019\/01\/sa-intro01-1024x859.png 1024w, https:\/\/sentiart.de\/blog\/wp-content\/uploads\/2019\/01\/sa-intro01-300x252.png 300w, https:\/\/sentiart.de\/blog\/wp-content\/uploads\/2019\/01\/sa-intro01-768x644.png 768w, https:\/\/sentiart.de\/blog\/wp-content\/uploads\/2019\/01\/sa-intro01.png 1274w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<ul class=\"wp-block-list\"><li>Key features are analysed at different text levels (e.g., phonological, semantic) and for different types (e.g., sublexical, interlexical features) based on the 4\u00d74 matrix especially designed for ACTA shown in the left-hand figures (cf. Jacobs, 2015, 2018a).<\/li><li>The following pages present example applications of computational poetics studies from&nbsp;<em>Emotion Potential&nbsp;<\/em>to&nbsp;<em>Sound Beauty<\/em>.<\/li><\/ul>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Computational Poetics&nbsp;is the scientific perspective that analyses literary texts quantitatively by help of state-of-the-art NLP and machine learning methods. Its goal is to understand which text features drive the fluent, immersive or dysfluent, reflective reading of narratives and poetry (cf. Jacobs, 2015, 2018). It focuses on affective-aesthetic features (e.g., Emotion, Immersion and Aesthetic Potential) in&hellip;&nbsp;<a href=\"https:\/\/sentiart.de\/blog\/introduction\/\" rel=\"bookmark\">Weiterlesen &raquo;<span class=\"screen-reader-text\">Introduction<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"neve_meta_sidebar":"full-width","neve_meta_container":"contained","neve_meta_enable_content_width":"","neve_meta_content_width":0,"neve_meta_title_alignment":"","neve_meta_author_avatar":"","neve_post_elements_order":"","neve_meta_disable_header":"","neve_meta_disable_footer":"","neve_meta_disable_title":"","neve_meta_reading_time":"","_themeisle_gutenberg_block_has_review":false,"jetpack_post_was_ever_published":false,"footnotes":""},"class_list":["post-10","page","type-page","status-publish","hentry"],"jetpack_sharing_enabled":true,"jetpack_shortlink":"https:\/\/wp.me\/PaB6ya-a","_links":{"self":[{"href":"https:\/\/sentiart.de\/blog\/wp-json\/wp\/v2\/pages\/10","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sentiart.de\/blog\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sentiart.de\/blog\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sentiart.de\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/sentiart.de\/blog\/wp-json\/wp\/v2\/comments?post=10"}],"version-history":[{"count":7,"href":"https:\/\/sentiart.de\/blog\/wp-json\/wp\/v2\/pages\/10\/revisions"}],"predecessor-version":[{"id":351,"href":"https:\/\/sentiart.de\/blog\/wp-json\/wp\/v2\/pages\/10\/revisions\/351"}],"wp:attachment":[{"href":"https:\/\/sentiart.de\/blog\/wp-json\/wp\/v2\/media?parent=10"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}