{"id":3044,"date":"2019-11-11T23:57:01","date_gmt":"2019-11-12T04:57:01","guid":{"rendered":"https:\/\/portfolios.cs.earlham.edu\/?p=3044"},"modified":"2025-04-15T14:54:29","modified_gmt":"2025-04-15T18:54:29","slug":"cs-388-week-12-updates","status":"publish","type":"post","link":"https:\/\/portfolios.cs.earlham.edu\/index.php\/2019\/11\/11\/cs-388-week-12-updates\/","title":{"rendered":"CS 388 &#8211; Week 12 &#8211; Updates"},"content":{"rendered":"\n<ul class=\"wp-block-list\"><li>I spent a lot of time this week trying to closely read the texts I\u2019ve found already to try and find any mention of the data set they are using. This was very difficult because the research articles usually don\u2019t name what their data set was called or don\u2019t explain where to find the data set they were using. There is not a lot of details in these papers about the researchers\u2019 process and methodology in a way that would allow me to replicate their results. This made finding fake news data sets extremely difficult. However, through the close reading and intense web searches, I have found 21 fake news related data sets.&nbsp;<\/li><li>I also spent a lot of time researching what would perhaps be the best machine learning tool to use for my project. I\u2019ve narrowed it down to these possibilities: Oryx 2, Tensorflow, Azure ML Studio, Weka, Shogun, AWS CLI, TensorBoard, Kerras, Caffe2. I think that I might be able to use more than one for my project to get the best results but more research still needs to be done about which tool is better for the type of data set I have (which is not a timeseries data set).<\/li><\/ul>\n","protected":false},"excerpt":{"rendered":"<p>I spent a lot of time this week trying to closely read the texts I\u2019ve found already to try and find any mention of the data set they are using. This was very difficult because the research articles usually don\u2019t &hellip; <a href=\"https:\/\/portfolios.cs.earlham.edu\/index.php\/2019\/11\/11\/cs-388-week-12-updates\/\">Read More<\/a><\/p>\n","protected":false},"author":83,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[80,98,19],"tags":[],"class_list":["post-3044","post","type-post","status-publish","format-standard","hentry","category-80","category-sari-stissi","category-student"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>CS 388 - Week 12 - Updates - 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\/2019\/11\/11\/cs-388-week-12-updates\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"CS 388 - Week 12 - Updates - CS\/DS Student Portfolios\" \/>\n<meta property=\"og:description\" content=\"I spent a lot of time this week trying to closely read the texts I\u2019ve found already to try and find any mention of the data set they are using. This was very difficult because the research articles usually don\u2019t &hellip; Read More\" \/>\n<meta property=\"og:url\" content=\"https:\/\/portfolios.cs.earlham.edu\/index.php\/2019\/11\/11\/cs-388-week-12-updates\/\" \/>\n<meta property=\"og:site_name\" content=\"CS\/DS Student Portfolios\" \/>\n<meta property=\"article:published_time\" content=\"2019-11-12T04:57:01+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2025-04-15T18:54:29+00:00\" \/>\n<meta name=\"author\" content=\"Sari Stissi\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Sari Stissi\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"1 minute\" \/>\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\\\/2019\\\/11\\\/11\\\/cs-388-week-12-updates\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/portfolios.cs.earlham.edu\\\/index.php\\\/2019\\\/11\\\/11\\\/cs-388-week-12-updates\\\/\"},\"author\":{\"name\":\"Sari Stissi\",\"@id\":\"https:\\\/\\\/portfolios.cs.earlham.edu\\\/#\\\/schema\\\/person\\\/ffeee6047b6b9c857d1ba569384e6465\"},\"headline\":\"CS 388 &#8211; 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This was very difficult because the research articles usually don\u2019t &hellip; Read More","_links":{"self":[{"href":"https:\/\/portfolios.cs.earlham.edu\/index.php\/wp-json\/wp\/v2\/posts\/3044","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\/83"}],"replies":[{"embeddable":true,"href":"https:\/\/portfolios.cs.earlham.edu\/index.php\/wp-json\/wp\/v2\/comments?post=3044"}],"version-history":[{"count":1,"href":"https:\/\/portfolios.cs.earlham.edu\/index.php\/wp-json\/wp\/v2\/posts\/3044\/revisions"}],"predecessor-version":[{"id":3045,"href":"https:\/\/portfolios.cs.earlham.edu\/index.php\/wp-json\/wp\/v2\/posts\/3044\/revisions\/3045"}],"wp:attachment":[{"href":"https:\/\/portfolios.cs.earlham.edu\/index.php\/wp-json\/wp\/v2\/media?parent=3044"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/portfolios.cs.earlham.edu\/index.php\/wp-json\/wp\/v2\/categories?post=3044"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/portfolios.cs.earlham.edu\/index.php\/wp-json\/wp\/v2\/tags?post=3044"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}