{"id":3982,"date":"2020-08-20T21:38:30","date_gmt":"2020-08-21T01:38:30","guid":{"rendered":"https:\/\/portfolios.cs.earlham.edu\/?p=3982"},"modified":"2025-04-15T14:13:48","modified_gmt":"2025-04-15T18:13:48","slug":"yujeongs-pitches-for-cs","status":"publish","type":"post","link":"https:\/\/portfolios.cs.earlham.edu\/index.php\/2020\/08\/20\/yujeongs-pitches-for-cs\/","title":{"rendered":"Yujeong&#8217;s Pitches for CS"},"content":{"rendered":"\n<p>CS 388<\/p>\n\n\n\n<p>David Barbella<\/p>\n\n\n\n<p>Yujeong Lee<\/p>\n\n\n\n<p><\/p>\n\n\n\n<p class=\"has-text-align-center\"><strong>1) Sentiment Analysis on Popular Fiction Books (Data Science)&nbsp;<\/strong><\/p>\n\n\n\n<p><strong>Research topic\/question:<\/strong><\/p>\n\n\n\n<p>People have long discussed \u201cformulas\u201d for writing successful narrative fiction, such as the <a href=\"https:\/\/en.wikipedia.org\/wiki\/Three-act_structure\">three-act structure<\/a> or the <a href=\"https:\/\/en.wikipedia.org\/wiki\/Hero%27s_journey\">hero\u2019s journey<\/a>, both models that follow a certain plot formula. I am interested in finding out whether a sentiment progression throughout a fiction book has a relationship to the popularity of the book.&nbsp;<\/p>\n\n\n\n<p><strong>Technology\/data:<\/strong><\/p>\n\n\n\n<p>Python, pandas, Matplotlib. Sentiment analysis. Corpus from Project Gutenbeg.&nbsp;<\/p>\n\n\n\n<p><strong>General approach\/method:&nbsp;<\/strong><\/p>\n\n\n\n<p>To find out whether there is a consistent pattern of sentiment, I will perform a sentiment analysis on each book, either by chapters, by n number of words (e.g. every 1000 words), or by n percentages (e.g. every 10% of the book). I will compare n books of high popularity, n books of medium popularity, and n books of low popularity, to observe whether certain patterns of sentiment correlates to popularity.&nbsp;<\/p>\n\n\n\n<p><strong>Difficulties\/potential problems:&nbsp;<\/strong><\/p>\n\n\n\n<p>It will be difficult to quantify \u2018popularity\u2019. If determined by the number of books sold, an ancient book may have significantly more copies sold then a contemporary book of equal popularity. To select a corpus with reduced bias, I will consider limiting selections by a single genre, single author, and\/or time (consider only books published between 1800-1900).&nbsp;<\/p>\n\n\n\n<p>One other concern is that this project may yield no correlation.&nbsp;<\/p>\n\n\n\n<p><\/p>\n\n\n\n<p class=\"has-text-align-center\"><strong>2) COVID-19 in South Korea (Data Science)&nbsp;<\/strong><\/p>\n\n\n\n<p><strong>Research topic\/question:<\/strong><\/p>\n\n\n\n<p>Understanding COVID-19 in South Korea by approaching the comprehensive dataset with foundational questions, such as &#8220;How is the virus distributed among people of different age?&#8221;, &#8220;Which regions were most impacted by the virus?&#8221;, &#8220;Which specific location (certain bar, church) has been central in spreading the virus?&#8221;, \u201cWhat pre-existing conditions have been the most detrimental to COVID patients?\u201d,&nbsp; &#8220;Can the future number of cases be predicted through this data?\u201d, \u201cHow does search trend relate to the magnitude of reported cases?\u201d.<\/p>\n\n\n\n<p><strong>Technology\/data:&nbsp;<\/strong><\/p>\n\n\n\n<p>Python, pandas, Matplotlib. South Korea COVID-19 dataset (<a href=\"https:\/\/www.kaggle.com\/kimjihoo\/coronavirusdataset\">https:\/\/www.kaggle.com\/kimjihoo\/coronavirusdataset<\/a>)<\/p>\n\n\n\n<p><strong>General approach\/method:&nbsp;<\/strong><\/p>\n\n\n\n<p>Cleaning the data, data visualization.&nbsp;<\/p>\n\n\n\n<p><strong>Difficulties\/potential problems:&nbsp;<\/strong><\/p>\n\n\n\n<p>How can I use more creative methods to approach the data? Would it be possible to provide new insights when so many data analysis has been performed around the world already? Should I use a worldwide dataset, instead of one country?&nbsp;<\/p>\n\n\n\n<p><\/p>\n\n\n\n<p class=\"has-text-align-center\"><strong>3) Edge Detection for Scanned Images of Cuneiform Tablets (Machine Learning)&nbsp;<\/strong><\/p>\n\n\n\n<p><strong>Research topic\/question:<\/strong><\/p>\n\n\n\n<p>In collections that preserve ancient Mesopotamian cuneiform tablets, the tablets are digitized and uploaded to the database by scanning each edge of a tablet then combining each image into the shape of a \u2018fat cross\u2019, like a rectangular box net. This digitization of thousands of tablets is still done manually in some institutions (which was my internship last summer at the University of Chicago). I am interested in creating a specific edge detection algorithm that, when given a collection of tablet scans, correctly detects the edge of the tablet. Through research and experimentation\/implementation, I will decide which edge detection algorithm is the most suitable for tablet scans.&nbsp;<\/p>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter is-resized\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/lh3.googleusercontent.com\/N8dD8Gaa7iK9KnhufS6tyNwPFwrhm_tuONU4xFuMBi3NCDWi88sDmo0FZ7xJ4pGFHCueVJpO6sLph5iAR0wD0Xdv8pXaelJFOnz6jeAHeRlpYQsu7aoqd7mMwYOOQzp-KLTzqZXV\" alt=\"\" width=\"182\" height=\"294\" \/><figcaption>Example of a completed \u2018fat cross\u2019 image from <a href=\"https:\/\/oi-idb.uchicago.edu\/id\/c196dc13-afd0-4705-a787-680415778556\">OI<\/a>.&nbsp;<\/figcaption><\/figure><\/div>\n\n\n\n<p><strong>Technology\/data:&nbsp;<\/strong><\/p>\n\n\n\n<p>Python, NumPy, Matplotlib, edge detection methods (e.g. Canny edge detector, Sobel edge detector, Prewitt edge detector, Laplacian edge detector).<\/p>\n\n\n\n<p>Raw images of cuneiform tablet scans (The Oriental Institute at the University of Chicago has made its digital collection available for the public. I can request high definition images for research <a href=\"https:\/\/oi.uchicago.edu\/photo-requests\">here<\/a>).<\/p>\n\n\n\n<p><strong>Difficulties\/potential problems:&nbsp;<\/strong><\/p>\n\n\n\n<p>Evaluation metric: The edge detection method will need an evaluation metric. When processing manually, the standard is to leave a narrow border around the detected edge to prevent abrupt endings that potentially cut off inscriptions at the sides (see images below). I will have to quantify this.<\/p>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter is-resized\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/lh3.googleusercontent.com\/DheZ3JY_4rchcPYRz6D3VI5pK4peG4Zdd0bwB_rGrprBVJquF_nJgPbp6jEnNNDKf8rJoGWbuymSm-nKm-J3aETABssNBMoIRCUIJkRe2w_IPgdU_VmuRdt0a9hIQu6BOXMkmIrM\" alt=\"\" width=\"173\" height=\"190\" \/><figcaption>How the edge should be cropped. <\/figcaption><\/figure><\/div>\n\n\n\n<p>Data: I will reach out to my previous supervisor at UChicago for more images of tablet scans. I can also reach out to a project manager at CDLI for images. However, there is a possibility they may not respond in time for the project.&nbsp;<\/p>\n\n\n\n<p><strong>Further possibilities, beyond this project:&nbsp;<\/strong><\/p>\n\n\n\n<p>Once I have the edge detection algorithm, I can further the project to completely automate the process of creating a \u2018fat cross\u2019 image. I can also create a web interface, which enables the user to dump a large number of tablet scans and retrieve a series of completed \u2018fat crosses\u2019.<br><\/p>\n","protected":false},"excerpt":{"rendered":"<p>CS 388 David Barbella Yujeong Lee 1) Sentiment Analysis on Popular Fiction Books (Data Science)&nbsp; Research topic\/question: People have long discussed \u201cformulas\u201d for writing successful narrative fiction, such as the three-act structure or the hero\u2019s journey, both models that follow &hellip; <a href=\"https:\/\/portfolios.cs.earlham.edu\/index.php\/2020\/08\/20\/yujeongs-pitches-for-cs\/\">Read More<\/a><\/p>\n","protected":false},"author":95,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[101,19,124],"tags":[],"class_list":["post-3982","post","type-post","status-publish","format-standard","hentry","category-101","category-student","category-yujeong-lee"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Yujeong&#039;s Pitches for CS - CS\/DS Student Portfolios<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/portfolios.cs.earlham.edu\/index.php\/2020\/08\/20\/yujeongs-pitches-for-cs\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Yujeong&#039;s Pitches for CS - CS\/DS Student Portfolios\" \/>\n<meta property=\"og:description\" content=\"CS 388 David Barbella Yujeong Lee 1) Sentiment Analysis on Popular Fiction Books (Data Science)&nbsp; Research topic\/question: People have long discussed \u201cformulas\u201d for writing successful narrative fiction, such as the three-act structure or the hero\u2019s journey, both models that follow &hellip; Read More\" \/>\n<meta property=\"og:url\" content=\"https:\/\/portfolios.cs.earlham.edu\/index.php\/2020\/08\/20\/yujeongs-pitches-for-cs\/\" \/>\n<meta property=\"og:site_name\" content=\"CS\/DS Student Portfolios\" \/>\n<meta property=\"article:published_time\" content=\"2020-08-21T01:38:30+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2025-04-15T18:13:48+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/lh3.googleusercontent.com\/N8dD8Gaa7iK9KnhufS6tyNwPFwrhm_tuONU4xFuMBi3NCDWi88sDmo0FZ7xJ4pGFHCueVJpO6sLph5iAR0wD0Xdv8pXaelJFOnz6jeAHeRlpYQsu7aoqd7mMwYOOQzp-KLTzqZXV\" \/>\n<meta name=\"author\" content=\"Yujeong Lee\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Yujeong Lee\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"4 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/portfolios.cs.earlham.edu\\\/index.php\\\/2020\\\/08\\\/20\\\/yujeongs-pitches-for-cs\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/portfolios.cs.earlham.edu\\\/index.php\\\/2020\\\/08\\\/20\\\/yujeongs-pitches-for-cs\\\/\"},\"author\":{\"name\":\"Yujeong Lee\",\"@id\":\"https:\\\/\\\/portfolios.cs.earlham.edu\\\/#\\\/schema\\\/person\\\/d0f591b2804e92c0682a597ab2166338\"},\"headline\":\"Yujeong&#8217;s Pitches for CS\",\"datePublished\":\"2020-08-21T01:38:30+00:00\",\"dateModified\":\"2025-04-15T18:13:48+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/portfolios.cs.earlham.edu\\\/index.php\\\/2020\\\/08\\\/20\\\/yujeongs-pitches-for-cs\\\/\"},\"wordCount\":745,\"commentCount\":0,\"image\":{\"@id\":\"https:\\\/\\\/portfolios.cs.earlham.edu\\\/index.php\\\/2020\\\/08\\\/20\\\/yujeongs-pitches-for-cs\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/lh3.googleusercontent.com\\\/N8dD8Gaa7iK9KnhufS6tyNwPFwrhm_tuONU4xFuMBi3NCDWi88sDmo0FZ7xJ4pGFHCueVJpO6sLph5iAR0wD0Xdv8pXaelJFOnz6jeAHeRlpYQsu7aoqd7mMwYOOQzp-KLTzqZXV\",\"articleSection\":[\"2021\",\"Student\",\"Yujeong Lee\"],\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\\\/\\\/portfolios.cs.earlham.edu\\\/index.php\\\/2020\\\/08\\\/20\\\/yujeongs-pitches-for-cs\\\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/portfolios.cs.earlham.edu\\\/index.php\\\/2020\\\/08\\\/20\\\/yujeongs-pitches-for-cs\\\/\",\"url\":\"https:\\\/\\\/portfolios.cs.earlham.edu\\\/index.php\\\/2020\\\/08\\\/20\\\/yujeongs-pitches-for-cs\\\/\",\"name\":\"Yujeong's Pitches for CS - CS\\\/DS Student Portfolios\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/portfolios.cs.earlham.edu\\\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\\\/\\\/portfolios.cs.earlham.edu\\\/index.php\\\/2020\\\/08\\\/20\\\/yujeongs-pitches-for-cs\\\/#primaryimage\"},\"image\":{\"@id\":\"https:\\\/\\\/portfolios.cs.earlham.edu\\\/index.php\\\/2020\\\/08\\\/20\\\/yujeongs-pitches-for-cs\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/lh3.googleusercontent.com\\\/N8dD8Gaa7iK9KnhufS6tyNwPFwrhm_tuONU4xFuMBi3NCDWi88sDmo0FZ7xJ4pGFHCueVJpO6sLph5iAR0wD0Xdv8pXaelJFOnz6jeAHeRlpYQsu7aoqd7mMwYOOQzp-KLTzqZXV\",\"datePublished\":\"2020-08-21T01:38:30+00:00\",\"dateModified\":\"2025-04-15T18:13:48+00:00\",\"author\":{\"@id\":\"https:\\\/\\\/portfolios.cs.earlham.edu\\\/#\\\/schema\\\/person\\\/d0f591b2804e92c0682a597ab2166338\"},\"breadcrumb\":{\"@id\":\"https:\\\/\\\/portfolios.cs.earlham.edu\\\/index.php\\\/2020\\\/08\\\/20\\\/yujeongs-pitches-for-cs\\\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/portfolios.cs.earlham.edu\\\/index.php\\\/2020\\\/08\\\/20\\\/yujeongs-pitches-for-cs\\\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/portfolios.cs.earlham.edu\\\/index.php\\\/2020\\\/08\\\/20\\\/yujeongs-pitches-for-cs\\\/#primaryimage\",\"url\":\"https:\\\/\\\/lh3.googleusercontent.com\\\/N8dD8Gaa7iK9KnhufS6tyNwPFwrhm_tuONU4xFuMBi3NCDWi88sDmo0FZ7xJ4pGFHCueVJpO6sLph5iAR0wD0Xdv8pXaelJFOnz6jeAHeRlpYQsu7aoqd7mMwYOOQzp-KLTzqZXV\",\"contentUrl\":\"https:\\\/\\\/lh3.googleusercontent.com\\\/N8dD8Gaa7iK9KnhufS6tyNwPFwrhm_tuONU4xFuMBi3NCDWi88sDmo0FZ7xJ4pGFHCueVJpO6sLph5iAR0wD0Xdv8pXaelJFOnz6jeAHeRlpYQsu7aoqd7mMwYOOQzp-KLTzqZXV\"},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/portfolios.cs.earlham.edu\\\/index.php\\\/2020\\\/08\\\/20\\\/yujeongs-pitches-for-cs\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\\\/\\\/portfolios.cs.earlham.edu\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Yujeong&#8217;s Pitches for CS\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/portfolios.cs.earlham.edu\\\/#website\",\"url\":\"https:\\\/\\\/portfolios.cs.earlham.edu\\\/\",\"name\":\"CS\\\/DS Student Portfolios\",\"description\":\"AI and ML, Image Classification, Arduino\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/portfolios.cs.earlham.edu\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":\"Person\",\"@id\":\"https:\\\/\\\/portfolios.cs.earlham.edu\\\/#\\\/schema\\\/person\\\/d0f591b2804e92c0682a597ab2166338\",\"name\":\"Yujeong Lee\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/04b30199d33607dfb4d703620a7434cd5209d9da7d21cb2e07a5f14cd0fa5c84?s=96&d=mm&r=g\",\"url\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/04b30199d33607dfb4d703620a7434cd5209d9da7d21cb2e07a5f14cd0fa5c84?s=96&d=mm&r=g\",\"contentUrl\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/04b30199d33607dfb4d703620a7434cd5209d9da7d21cb2e07a5f14cd0fa5c84?s=96&d=mm&r=g\",\"caption\":\"Yujeong Lee\"},\"url\":\"https:\\\/\\\/portfolios.cs.earlham.edu\\\/index.php\\\/author\\\/elee17\\\/\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Yujeong's Pitches for CS - CS\/DS Student Portfolios","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/portfolios.cs.earlham.edu\/index.php\/2020\/08\/20\/yujeongs-pitches-for-cs\/","og_locale":"en_US","og_type":"article","og_title":"Yujeong's Pitches for CS - CS\/DS Student Portfolios","og_description":"CS 388 David Barbella Yujeong Lee 1) Sentiment Analysis on Popular Fiction Books (Data Science)&nbsp; Research topic\/question: People have long discussed \u201cformulas\u201d for writing successful narrative fiction, such as the three-act structure or the hero\u2019s journey, both models that follow &hellip; Read More","og_url":"https:\/\/portfolios.cs.earlham.edu\/index.php\/2020\/08\/20\/yujeongs-pitches-for-cs\/","og_site_name":"CS\/DS Student Portfolios","article_published_time":"2020-08-21T01:38:30+00:00","article_modified_time":"2025-04-15T18:13:48+00:00","og_image":[{"url":"https:\/\/lh3.googleusercontent.com\/N8dD8Gaa7iK9KnhufS6tyNwPFwrhm_tuONU4xFuMBi3NCDWi88sDmo0FZ7xJ4pGFHCueVJpO6sLph5iAR0wD0Xdv8pXaelJFOnz6jeAHeRlpYQsu7aoqd7mMwYOOQzp-KLTzqZXV","type":"","width":"","height":""}],"author":"Yujeong Lee","twitter_card":"summary_large_image","twitter_misc":{"Written by":"Yujeong Lee","Est. reading time":"4 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/portfolios.cs.earlham.edu\/index.php\/2020\/08\/20\/yujeongs-pitches-for-cs\/#article","isPartOf":{"@id":"https:\/\/portfolios.cs.earlham.edu\/index.php\/2020\/08\/20\/yujeongs-pitches-for-cs\/"},"author":{"name":"Yujeong Lee","@id":"https:\/\/portfolios.cs.earlham.edu\/#\/schema\/person\/d0f591b2804e92c0682a597ab2166338"},"headline":"Yujeong&#8217;s Pitches for CS","datePublished":"2020-08-21T01:38:30+00:00","dateModified":"2025-04-15T18:13:48+00:00","mainEntityOfPage":{"@id":"https:\/\/portfolios.cs.earlham.edu\/index.php\/2020\/08\/20\/yujeongs-pitches-for-cs\/"},"wordCount":745,"commentCount":0,"image":{"@id":"https:\/\/portfolios.cs.earlham.edu\/index.php\/2020\/08\/20\/yujeongs-pitches-for-cs\/#primaryimage"},"thumbnailUrl":"https:\/\/lh3.googleusercontent.com\/N8dD8Gaa7iK9KnhufS6tyNwPFwrhm_tuONU4xFuMBi3NCDWi88sDmo0FZ7xJ4pGFHCueVJpO6sLph5iAR0wD0Xdv8pXaelJFOnz6jeAHeRlpYQsu7aoqd7mMwYOOQzp-KLTzqZXV","articleSection":["2021","Student","Yujeong Lee"],"inLanguage":"en-US","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/portfolios.cs.earlham.edu\/index.php\/2020\/08\/20\/yujeongs-pitches-for-cs\/#respond"]}]},{"@type":"WebPage","@id":"https:\/\/portfolios.cs.earlham.edu\/index.php\/2020\/08\/20\/yujeongs-pitches-for-cs\/","url":"https:\/\/portfolios.cs.earlham.edu\/index.php\/2020\/08\/20\/yujeongs-pitches-for-cs\/","name":"Yujeong's Pitches for CS - CS\/DS Student Portfolios","isPartOf":{"@id":"https:\/\/portfolios.cs.earlham.edu\/#website"},"primaryImageOfPage":{"@id":"https:\/\/portfolios.cs.earlham.edu\/index.php\/2020\/08\/20\/yujeongs-pitches-for-cs\/#primaryimage"},"image":{"@id":"https:\/\/portfolios.cs.earlham.edu\/index.php\/2020\/08\/20\/yujeongs-pitches-for-cs\/#primaryimage"},"thumbnailUrl":"https:\/\/lh3.googleusercontent.com\/N8dD8Gaa7iK9KnhufS6tyNwPFwrhm_tuONU4xFuMBi3NCDWi88sDmo0FZ7xJ4pGFHCueVJpO6sLph5iAR0wD0Xdv8pXaelJFOnz6jeAHeRlpYQsu7aoqd7mMwYOOQzp-KLTzqZXV","datePublished":"2020-08-21T01:38:30+00:00","dateModified":"2025-04-15T18:13:48+00:00","author":{"@id":"https:\/\/portfolios.cs.earlham.edu\/#\/schema\/person\/d0f591b2804e92c0682a597ab2166338"},"breadcrumb":{"@id":"https:\/\/portfolios.cs.earlham.edu\/index.php\/2020\/08\/20\/yujeongs-pitches-for-cs\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/portfolios.cs.earlham.edu\/index.php\/2020\/08\/20\/yujeongs-pitches-for-cs\/"]}]},{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/portfolios.cs.earlham.edu\/index.php\/2020\/08\/20\/yujeongs-pitches-for-cs\/#primaryimage","url":"https:\/\/lh3.googleusercontent.com\/N8dD8Gaa7iK9KnhufS6tyNwPFwrhm_tuONU4xFuMBi3NCDWi88sDmo0FZ7xJ4pGFHCueVJpO6sLph5iAR0wD0Xdv8pXaelJFOnz6jeAHeRlpYQsu7aoqd7mMwYOOQzp-KLTzqZXV","contentUrl":"https:\/\/lh3.googleusercontent.com\/N8dD8Gaa7iK9KnhufS6tyNwPFwrhm_tuONU4xFuMBi3NCDWi88sDmo0FZ7xJ4pGFHCueVJpO6sLph5iAR0wD0Xdv8pXaelJFOnz6jeAHeRlpYQsu7aoqd7mMwYOOQzp-KLTzqZXV"},{"@type":"BreadcrumbList","@id":"https:\/\/portfolios.cs.earlham.edu\/index.php\/2020\/08\/20\/yujeongs-pitches-for-cs\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/portfolios.cs.earlham.edu\/"},{"@type":"ListItem","position":2,"name":"Yujeong&#8217;s Pitches for CS"}]},{"@type":"WebSite","@id":"https:\/\/portfolios.cs.earlham.edu\/#website","url":"https:\/\/portfolios.cs.earlham.edu\/","name":"CS\/DS Student Portfolios","description":"AI and ML, Image Classification, Arduino","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/portfolios.cs.earlham.edu\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"},{"@type":"Person","@id":"https:\/\/portfolios.cs.earlham.edu\/#\/schema\/person\/d0f591b2804e92c0682a597ab2166338","name":"Yujeong Lee","image":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/secure.gravatar.com\/avatar\/04b30199d33607dfb4d703620a7434cd5209d9da7d21cb2e07a5f14cd0fa5c84?s=96&d=mm&r=g","url":"https:\/\/secure.gravatar.com\/avatar\/04b30199d33607dfb4d703620a7434cd5209d9da7d21cb2e07a5f14cd0fa5c84?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/04b30199d33607dfb4d703620a7434cd5209d9da7d21cb2e07a5f14cd0fa5c84?s=96&d=mm&r=g","caption":"Yujeong Lee"},"url":"https:\/\/portfolios.cs.earlham.edu\/index.php\/author\/elee17\/"}]}},"rttpg_featured_image_url":null,"rttpg_author":{"display_name":"Yujeong Lee","author_link":"https:\/\/portfolios.cs.earlham.edu\/index.php\/author\/elee17\/"},"rttpg_comment":0,"rttpg_category":"<a href=\"https:\/\/portfolios.cs.earlham.edu\/index.php\/category\/student\/2021\/\" rel=\"category tag\">2021<\/a> <a href=\"https:\/\/portfolios.cs.earlham.edu\/index.php\/category\/student\/\" rel=\"category tag\">Student<\/a> <a href=\"https:\/\/portfolios.cs.earlham.edu\/index.php\/category\/student\/2021\/yujeong-lee\/\" rel=\"category tag\">Yujeong Lee<\/a>","rttpg_excerpt":"CS 388 David Barbella Yujeong Lee 1) Sentiment Analysis on Popular Fiction Books (Data Science)&nbsp; Research topic\/question: People have long discussed \u201cformulas\u201d for writing successful narrative fiction, such as the three-act structure or the hero\u2019s journey, both models that follow &hellip; Read More","_links":{"self":[{"href":"https:\/\/portfolios.cs.earlham.edu\/index.php\/wp-json\/wp\/v2\/posts\/3982","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/portfolios.cs.earlham.edu\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/portfolios.cs.earlham.edu\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/portfolios.cs.earlham.edu\/index.php\/wp-json\/wp\/v2\/users\/95"}],"replies":[{"embeddable":true,"href":"https:\/\/portfolios.cs.earlham.edu\/index.php\/wp-json\/wp\/v2\/comments?post=3982"}],"version-history":[{"count":3,"href":"https:\/\/portfolios.cs.earlham.edu\/index.php\/wp-json\/wp\/v2\/posts\/3982\/revisions"}],"predecessor-version":[{"id":3985,"href":"https:\/\/portfolios.cs.earlham.edu\/index.php\/wp-json\/wp\/v2\/posts\/3982\/revisions\/3985"}],"wp:attachment":[{"href":"https:\/\/portfolios.cs.earlham.edu\/index.php\/wp-json\/wp\/v2\/media?parent=3982"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/portfolios.cs.earlham.edu\/index.php\/wp-json\/wp\/v2\/categories?post=3982"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/portfolios.cs.earlham.edu\/index.php\/wp-json\/wp\/v2\/tags?post=3982"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}