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project.mobirise
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{
"settings": {
"name": "My Site",
"currentPage": "Group14_eecs349.html",
"theme": {
"name": "mobirise4",
"title": "Mobirise 4",
"styling": {
"primaryColor": "#149dcc",
"secondaryColor": "#ff3366",
"successColor": "#F7ED4A",
"infoColor": "#82786E",
"warningColor": "#879A9F",
"dangerColor": "#B1A374",
"mainFont": "Rubik",
"display1Font": "Rubik",
"display1Size": 4.25,
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"display7Font": "Rubik",
"display7Size": 1,
"display4Font": "Rubik",
"display4Size": 1,
"isRoundedButtons": true,
"isAnimatedOnScroll": false,
"isScrollToTopButton": false
},
"additionalSetColors": []
},
"path": "@PROJECT_PATH@",
"siteFonts": [],
"versionFirst": "4.7.6",
"uniqCompNum": 12,
"versionPublish": "4.8.8",
"screenshot": "screenshot.png"
},
"pages": {
"Group14_eecs349.html": {
"settings": {
"main": true,
"title": "Home",
"meta_descr": "This is our website for the final project in eecs 349.",
"header_custom": "",
"footer_custom": "",
"html_before": ""
},
"components": [
{
"_styles": {
"& when not (@fullScreen)": {
"padding-top": "(@paddingTop * 15px)",
"padding-bottom": "(@paddingBottom * 15px)"
},
"& when (@bg-type = 'color')": {
"background-color": "@bg-value"
},
"& when (@bg-type = 'image')": {
"background-image": "url(@bg-value)"
}
},
"_name": "header1",
"_customHTML": "<section class=\"header1\" group=\"Headers\" data-bg-video=\"{{bg.type == 'video' && bg.value.url}}\" mbr-class=\"{'mbr-fullscreen': fullScreen,\n 'mbr-parallax-background': bg.parallax}\">\n\n <mbr-parameters>\n <!-- Block parameters controls (Blue \"Gear\" panel) -->\n <input type=\"checkbox\" title=\"Full Screen\" name=\"fullScreen\">\n <input type=\"range\" inline title=\"Top\" name=\"paddingTop\" min=\"0\" max=\"9\" step=\"1\" value=\"9\" condition=\"fullScreen == false\">\n <input type=\"range\" inline title=\"Bottom\" name=\"paddingBottom\" min=\"0\" max=\"9\" step=\"1\" value=\"9\" condition=\"fullScreen == false\">\n\n <input type=\"checkbox\" title=\"Show Title\" name=\"showTitle\" checked>\n <input type=\"checkbox\" title=\"Show Subtitle\" name=\"showSubTitle\" checked>\n <input type=\"checkbox\" title=\"Show Text\" name=\"showText\" checked>\n <input type=\"checkbox\" title=\"Show Buttons\" name=\"showButtons\">\n\n <fieldset type=\"background\" name=\"bg\" parallax>\n <input type=\"image\" title=\"Background Image\" value=\"@PROJECT_PATH@/assets/images/mbr-1920x643.jpg\" selected parallax>\n <input type=\"color\" title=\"Background Color\" value=\"#886586\">\n <input type=\"video\" title=\"Background Video\" value=\"http://www.youtube.com/watch?v=uNCr7NdOJgw\">\n </fieldset>\n <input type=\"checkbox\" title=\"Overlay\" name=\"overlay\" condition=\"bg.type !== 'color'\">\n <input type=\"color\" title=\"Overlay Color\" name=\"overlayColor\" value=\"#000000\" condition=\"overlay && bg.type !== 'color'\">\n <input type=\"range\" inline title=\"Opacity\" name=\"overlayOpacity\" min=\"0\" max=\"1\" step=\"0.1\" value=\"0.2\" condition=\"overlay && bg.type !== 'color'\">\n <!-- End block parameters -->\n </mbr-parameters>\n\n <div class=\"mbr-overlay\" mbr-if=\"overlay && bg.type!== 'color'\" mbr-style=\"{'opacity': overlayOpacity, 'background-color': overlayColor}\">\n </div>\n\n <div class=\"container\">\n <div class=\"row justify-content-md-center\">\n <div class=\"mbr-white col-md-10\">\n <h1 class=\"mbr-section-title align-center mbr-bold pb-3 mbr-fonts-style\" mbr-theme-style=\"display-1\" mbr-if=\"showTitle\">Lost Redditors </h1>\n <h3 class=\"mbr-section-subtitle align-center mbr-light pb-3 mbr-fonts-style\" mbr-theme-style=\"display-2\" mbr-if=\"showSubTitle\">Course: eecs 349 <br>Instructor: Doug Downey </h3>\n <p class=\"mbr-text align-center pb-3 mbr-fonts-style\" mbr-theme-style=\"display-5\" mbr-if=\"showText\">\n Group Members: Bennett Hensey, Jason Liu, Michael Threatt</p>\n <div class=\"mbr-section-btn align-center\" mbr-if=\"showButtons\" data-toolbar=\"-mbrBtnMove\" mbr-buttons mbr-theme-style=\"display-4\"><a class=\"btn btn-md btn-white-outline\" href=\"https://mobirise.co\" data-app-placeholder=\"Type Text\">\n <span class=\"mbr-iconfont mbri-idea\"></span>LIVE DEMO</a></div>\n </div>\n </div>\n </div>\n\n</section>",
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"_global": false,
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},
{
"_styles": {
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"padding-bottom": "(@paddingBottom * 15px)",
"background-color": "@bgColor",
".mbr-text": {
"color": "#767676"
}
},
"_name": "content3",
"_customHTML": "<section mbr-id=\"_anchor\" mbr-paddings class=\"mbr-section article content3\">\n \n <mbr-parameters>\n <!-- Block parameters controls (Blue \"Gear\" panel) --> \n <input type=\"range\" inline title=\"Top\" name=\"paddingTop\" min=\"0\" max=\"8\" step=\"1\" value=\"4\">\n <input type=\"range\" inline title=\"Bottom\" name=\"paddingBottom\" min=\"0\" max=\"8\" step=\"1\" value=\"4\">\n <input type=\"color\" title=\"Background Color\" name=\"bgColor\" value=\"#ffffff\">\n <!-- End block parameters --> \n </mbr-parameters> \n\n <div class=\"container\">\n <div class=\"media-container-row\">\n <div class=\"row col-12 col-md-8\">\n <div class=\"col-12 col-md-6 pr-lg-4 mbr-text mbr-fonts-style\" mbr-theme-style=\"display-7\" mbr-article data-app-selector=\".mbr-text\" data-multiline><p>\n Task: Our task was to create a content classifier for Reddit for moderator purposes. Reddit moderators have the difficult task of scrubbing irrelevant content from subreddits. This is a daunting task since there are thousands of subreddits to moderate. We aim to use the machine learning concepts learned in class to create a tool to assist in that task. </p><p>Approach: We used the Reddit API along with NLTK in python to acquire our data sets.Our data consisted of the number of comments, reddit score, word frequency of the titles. We used both bayes net, J48 ,neural networks to see which was the most effective implementation. </p><p>Key results: Bayes net offered slightly better validation accuracy compared to the neural network. This isn't particulary suprising. This may change if a larger data set is used or the number of hidden layers changes. The Neural net validation and training accuracy are shown below and were compared to J48 descision trees and Bayes net in the final report. </p><p><img 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style=\"width: 738.197px; height: 285px;\"></p><p><br></p><p></p><p></p><p></p><p></p></div>\n <div class=\"col-12 col-md-6 pl-lg-4 mbr-text mbr-fonts-style\" mbr-theme-style=\"display-7\" mbr-article data-app-selector=\".mbr-text\" data-multiline><p><span style=\"font-size: 1rem;\">We trained machine learning models that classify subreddits based on title strings using a bayes net, J48 decision tree, and tensorflow keras neural net with accuracies of 84.4%, 78.5%, and 85.5% respectively. While neural nets presented higher accuracy, we believe Bayes classifiers are better for their interpretability. We tested our bayes net model using posts taken from different time periods to determine the generalizability of our model. Our all-time top posts model achieved accuracies of 78.5%, 83.0%, and 85.1% with datasets of top posts from the previous week, month, and year. Performing stemming with our bag-of-words approach improved accuracy, but we expect that we higher accuracies will come from more complex feature selection (sentence structure, grammar, valence). In the future, we could try increase our accuracy by using word embeddings. </span><br></p><p><br></p></div>\n </div>\n </div>\n </div>\n</section>",
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".navbar-nav": {
"display": "block",
"text-align": "center",
".nav-item": {
"clear": "both",
"& when (@showButtons = false)": {
"&:last-child": {
"margin-bottom": "1rem"
}
}
}
},
".navbar-buttons": {
"text-align": "center",
"&:last-child": {
"margin-bottom": "1rem"
}
}
}
},
"button.navbar-toggler": {
"display": "block"
},
".navbar-brand": {
"margin-left": "1rem !important"
},
".navbar-toggleable-sm": {
"flex-direction": "column",
"-webkit-flex-direction": "column"
},
".dropdown": {
".dropdown-menu": {
"width": "100%",
"text-align": "center",
"position": "relative",
"opacity": "0",
"display": "block",
"height": "0",
"visibility": "hidden",
"padding": "0",
"transition-duration": ".5s",
"transition-property": "opacity,padding,height"
},
"&.open > .dropdown-menu": {
"position": "relative",
"opacity": "1",
"height": "auto",
"padding": "1.4rem 0",
"visibility": "visible"
},
".dropdown-submenu": {
"left": "0",
"text-align": "center",
"width": "100%"
},
".dropdown-toggle[data-toggle=\"dropdown-submenu\"]::after": {
"margin-top": "0",
"position": "inherit",
"right": "0",
"top": "50%",
"display": "inline-block",
"width": "0",
"height": "0",
"margin-left": ".3em",
"vertical-align": "middle",
"content": "\"\"",
"border-top": ".30em solid",
"border-right": ".30em solid transparent",
"border-left": ".30em solid transparent"
}
}
},
"@media (max-width: 991px)": {
".navbar-expand": {
"flex-direction": "column",
"-webkit-flex-direction": "column"
},
"img": {
"height": "3.8rem !important"
},
".btn": {
"display": "-webkit-flex"
},
"button.navbar-toggler": {
"display": "block"
},
".navbar-brand": {
"margin-left": "1rem !important"
},
".navbar-toggleable-sm": {
"flex-direction": "column",
"-webkit-flex-direction": "column"
},
".navbar-collapse": {
"display": "none !important",
"padding-right": "0 !important",
"&.collapsing,&.show": {
"display": "block !important",
".navbar-nav": {
"display": "block",
"text-align": "center",
".nav-item": {
"clear": "both",
"& when (@showButtons = false)": {
"&:last-child": {
"margin-bottom": "1rem"
}
}
}
},
".navbar-buttons": {
"text-align": "center",
"&:last-child": {
"margin-bottom": "1rem"
}
}
}
},
".dropdown": {
".dropdown-menu": {
"width": "100%",
"text-align": "center",
"position": "relative",
"opacity": "0",
"display": "block",
"height": "0",
"visibility": "hidden",
"padding": "0",
"transition-duration": ".5s",
"transition-property": "opacity,padding,height"
},
"&.open > .dropdown-menu": {
"position": "relative",
"opacity": "1",
"height": "auto",
"padding": "1.4rem 0",
"visibility": "visible"
},
".dropdown-submenu": {
"left": "0",
"text-align": "center",
"width": "100%"
},
".dropdown-toggle[data-toggle=\"dropdown-submenu\"]::after": {
"margin-top": "0",
"position": "inherit",
"right": "0",
"top": "50%",
"display": "inline-block",
"width": "0",
"height": "0",
"margin-left": ".3em",
"vertical-align": "middle",
"content": "\"\"",
"border-top": ".30em solid",
"border-right": ".30em solid transparent",
"border-left": ".30em solid transparent"
}
}
},
"@media (min-width: 767px)": {
".menu-logo": {
"flex-shrink": "0",
"-webkit-flex-shrink": "0"
}
},
".navbar-collapse": {
"flex-basis": "auto",
"-webkit-flex-basis": "auto"
},
".nav-link:hover, .dropdown-item:hover": {
"color": "@itemsHoverColor !important"
}
},
"_name": "menu1",
"_customHTML": "<section class=\"menu\" group=\"Menu\" plugins=\"DropDown, TouchSwipe\" always-top global once=\"menu\" not-draggable position-absolute>\n\n <mbr-parameters>\n <!-- Block parameters controls (Blue \"Gear\" panel) -->\n <input type=\"checkbox\" title=\"Show Logo\" name=\"showLogo\" checked>\n <input type=\"range\" title=\"Logo Size\" inline name=\"logoSize\" min=\"3.8\" max=\"8\" step=\"0.1\" value=\"3.8\" condition=\"showLogo\">\n <input type=\"checkbox\" title=\"Show Brand Name\" name=\"showBrand\" checked>\n <input type=\"checkbox\" title=\"Show Menu Items\" name=\"showItems\" checked>\n <input type=\"color\" title=\"Items Hover Color\" name=\"itemsHoverColor\" value=\"#c1c1c1\" condition=\"showItems\">\n <input type=\"checkbox\" title=\"Show Button(s)\" name=\"showButtons\" checked>\n <input type=\"checkbox\" title=\"Sticky\" name=\"sticky\" checked>\n <input type=\"checkbox\" title=\"Collapsed\" name=\"collapsed\">\n <input type=\"checkbox\" title=\"Transparent\" name=\"transparent\">\n <input type=\"color\" title=\"Hamburger Color\" name=\"hamburgerColor\" value=\"#ffffff\">\n <input type=\"color\" title=\"Background Color\" name=\"menuBgColor\" value=\"#333333\">\n <!-- End block parameters -->\n </mbr-parameters>\n\n <nav class=\"navbar navbar-expand beta-menu navbar-dropdown align-items-center\" mbr-class=\"{'navbar-fixed-top': sticky,\n 'navbar-toggleable-sm': !collapsed,\n 'collapsed': collapsed,\n 'bg-color transparent': transparent}\">\n <button class=\"navbar-toggler navbar-toggler-right\" type=\"button\" data-toggle=\"collapse\" data-target=\"#navbarSupportedContent\" aria-controls=\"navbarSupportedContent\" aria-expanded=\"false\" aria-label=\"Toggle navigation\">\n <div class=\"hamburger\">\n <span></span>\n <span></span>\n <span></span>\n <span></span>\n </div>\n </button>\n <div class=\"menu-logo\">\n <div class=\"navbar-brand\">\n <span mbr-if=\"showLogo\" class=\"navbar-logo\">\n <a href=\"https://github.com/bhensey/349FinalProject\">\n <img src=\"@PROJECT_PATH@/assets/images/mbr-182x121.jpg\" alt=\"Mobirise\" mbr-style=\"{'height': logoSize + 'rem'}\" title>\n </a>\n </span>\n <span mbr-if=\"showBrand\" mbr-buttons mbr-theme-style=\"display-4\" class=\"navbar-caption-wrap\" data-toolbar=\"-mbrBtnMove,-mbrBtnAdd,-mbrBtnRemove\"><a class=\"navbar-caption text-white\" data-app-selector=\".navbar-caption\" href=\"https://github.com/bhensey/349FinalProject\" data-app-placeholder=\"Type Text\" target=\"_blank\">Link to our Code</a></span>\n </div>\n </div>\n <div class=\"collapse navbar-collapse\" id=\"navbarSupportedContent\">\n <ul mbr-if=\"showItems\" mbr-menu class=\"navbar-nav nav-dropdown\" mbr-theme-style=\"display-4\" mbr-class=\"{'nav-right': !showButtons,'navbar-nav-top-padding': isPublish && !showBrand && !showLogo}\"><li class=\"nav-item\">\n <a class=\"nav-link link text-white\" href=\"https://mobirise.co\" data-app-selector=\".nav-link,.dropdown-item\" data-app-placeholder=\"Type Text\">\n </a>\n </li>\n <li class=\"nav-item\">\n <a class=\"nav-link link text-white\" href=\"https://mobirise.co\" data-app-selector=\".nav-link,.dropdown-item\" data-app-placeholder=\"Type Text\">\n <br></a>\n </li></ul>\n <div mbr-if=\"showButtons\" mbr-buttons mbr-theme-style=\"display-4\" class=\"navbar-buttons mbr-section-btn\"><a class=\"btn btn-sm btn-primary\" href=\"assets/files/Final%20Report.docx\" data-app-placeholder=\"Type Text\" target=\"_blank\"><span class=\"mbri-to-local-drive mbr-iconfont mbr-iconfont-btn\"></span>Full Final Report</a></div>\n </div>\n </nav>\n</section>",
"_cid": "rbub42dsZV",
"_anchor": "menu1-6",
"_protectedParams": [],
"_global": true,
"_once": "menu",
"_params": {}
},
{
"_styles": {
"padding-top": "(@paddingTop * 15px)",
"padding-bottom": "(@paddingBottom * 15px)",
"& when (@bg-type = 'image')": {
"background-image": "url(@bg-value)"
},
"& when (@bg-type = 'color')": {
"background-color": "@bg-value"
},
".content": {
"@media (max-width: 767px)": {
"text-align": "center",
"> div:not(:last-child)": {
"margin-bottom": "2rem"
}
}
},
".media-wrap": {
"@media (max-width: 767px)": {
"margin-bottom": "1rem"
},
".mbr-iconfont-logo": {
"font-size": "7.5rem",
"color": "#f36"
},
"img": {
"height": "6rem"
}
},
".footer-lower": {
".copyright": {
"@media (max-width: 767px)": {
"margin-bottom": "1rem",
"text-align": "center"
}
},
"hr": {
"margin": "1rem 0",
"border-color": "#fff",
"opacity": ".05"
},
".social-list": {
"padding-left": "0",
"margin-bottom": "0",
"list-style": "none",
"display": "flex",
"-webkit-flex-wrap": "wrap",
"flex-wrap": "wrap",
"-webkit-justify-content": "flex-end",
"justify-content": "flex-end",
".mbr-iconfont-social": {
"font-size": "1.3rem",
"color": "#fff"
},
".soc-item": {
"margin": "0 .5rem"
},
"a": {
"margin": "0",
"opacity": ".5",
"-webkit-transition": ".2s linear",
"transition": ".2s linear",
"&:hover": {
"opacity": "1"
}
},
"@media (max-width: 767px)": {
"-webkit-justify-content": "center",
"justify-content": "center"
}
}
}
},
"_name": "footer1",
"_customHTML": "<section group=\"Footers\" mbr-class=\"{'mbr-reveal': reveal, 'mbr-parallax-background': bg.parallax}\">\n\n <mbr-parameters>\n <!-- Block parameters controls (Blue \"Gear\" panel) --> \n <input type=\"range\" inline title=\"Top\" name=\"paddingTop\" min=\"0\" max=\"8\" step=\"1\" value=\"4\">\n <input type=\"range\" inline title=\"Bottom\" name=\"paddingBottom\" min=\"0\" max=\"8\" step=\"1\" value=\"4\">\n <input type=\"checkbox\" title=\"Show Copyright\" name=\"showCopyright\" checked>\n <select title=\"Icons\" name=\"iconsCount\">\n <option value=\"0\">0</option>\n <option value=\"1\">1</option>\n <option value=\"2\">2</option>\n <option value=\"3\">3</option>\n <option value=\"4\">4</option>\n <option value=\"5\">5</option>\n <option value=\"6\" selected>6</option>\n </select>\n <input type=\"checkbox\" title=\"Reveal effect\" name=\"reveal\">\n <fieldset type=\"background\" name=\"bg\" parallax>\n <input type=\"image\" title=\"Background Image\" value=\"../_images/jumbotron.jpg\">\n <input type=\"color\" title=\"Background Color\" value=\"#2e2e2e\" selected>\n </fieldset>\n <input type=\"checkbox\" title=\"Overlay\" name=\"overlay\" condition=\"bg.type !== 'color'\" checked>\n <input type=\"color\" title=\"Overlay Color\" name=\"overlayColor\" value=\"#3C3C3C\" condition=\"overlay && bg.type !== 'color'\">\n <input type=\"range\" inline title=\"Opacity\" name=\"overlayOpacity\" min=\"0\" max=\"1\" step=\"0.1\" value=\"0.5\" condition=\"overlay && bg.type !== 'color'\">\n <!-- End block parameters -->\n </mbr-parameters>\n\n <div class=\"mbr-overlay\" mbr-if=\"overlay && bg.type !== 'color'\" opacity=\"{{overlayOpacity}}\" bg-color=\"{{overlayColor}}\"></div>\n\n <div class=\"container\">\n <div class=\"media-container-row content text-white\">\n <div class=\"col-12 col-md-3\">\n <div class=\"media-wrap\">\n <a href=\"https://www.northwestern.edu/\">\n <img src=\"@PROJECT_PATH@/assets/images/nu-logo-164x98.png\" alt=\"Mobirise\" title>\n </a>\n </div>\n </div>\n <div class=\"col-12 col-md-3 mbr-fonts-style\" mbr-theme-style=\"display-7\">\n <h5 class=\"pb-3\">\n Address\n </h5>\n <p class=\"mbr-text\">633 Clark St, Evanston, IL 60208</p>\n </div>\n <div class=\"col-12 col-md-3 mbr-fonts-style\" mbr-theme-style=\"display-7\">\n <h5 class=\"pb-3\">\n Contacts\n </h5>\n <p class=\"mbr-text\">Email: [email protected]\n<br>\n<br>[email protected]\n<br>\n<br>[email protected]</p>\n </div>\n <div class=\"col-12 col-md-3 mbr-fonts-style\" mbr-theme-style=\"display-7\">\n <h5 class=\"pb-3\"></h5>\n <p class=\"mbr-text\"></p>\n </div>\n </div>\n <div class=\"footer-lower\" mbr-if=\"showCopyright\">\n <div class=\"media-container-row\">\n <div class=\"col-sm-12\">\n <hr>\n </div>\n </div>\n <div class=\"media-container-row mbr-white\">\n <div class=\"col-sm-6 copyright\">\n <p class=\"mbr-text mbr-fonts-style\" mbr-theme-style=\"display-7\" data-app-selector=\".copyright > p\">\n © Copyright 2017 Mobirise - All Rights Reserved\n </p>\n </div>\n <div class=\"col-md-6\">\n <div class=\"social-list align-right\" mbr-if=\"iconsCount > 0\">\n <div class=\"soc-item\" mbr-if=\"iconsCount>0\">\n <a href=\"https://twitter.com/mobirise\" target=\"_blank\">\n <span mbr-icon class=\"socicon-twitter socicon mbr-iconfont mbr-iconfont-social\"></span>\n </a>\n </div>\n <div class=\"soc-item\" mbr-if=\"iconsCount>1\">\n <a href=\"https://www.facebook.com/pages/Mobirise/1616226671953247\" target=\"_blank\">\n <span mbr-icon class=\"socicon-facebook socicon mbr-iconfont mbr-iconfont-social\"></span>\n </a>\n </div>\n <div class=\"soc-item\" mbr-if=\"iconsCount>2\">\n <a href=\"https://www.youtube.com/c/mobirise\" target=\"_blank\">\n <span mbr-icon class=\"socicon-youtube socicon mbr-iconfont mbr-iconfont-social\"></span>\n </a>\n </div>\n <div class=\"soc-item\" mbr-if=\"iconsCount>3\">\n <a href=\"https://instagram.com/mobirise\" target=\"_blank\">\n <span mbr-icon class=\"socicon-instagram socicon mbr-iconfont mbr-iconfont-social\"></span>\n </a>\n </div>\n <div class=\"soc-item\" mbr-if=\"iconsCount>4\">\n <a href=\"https://plus.google.com/u/0/+Mobirise\" target=\"_blank\">\n <span mbr-icon class=\"socicon-googleplus socicon mbr-iconfont mbr-iconfont-social\"></span>\n </a>\n </div>\n <div class=\"soc-item\" mbr-if=\"iconsCount>5\">\n <a href=\"https://www.behance.net/Mobirise\" target=\"_blank\">\n <span mbr-icon class=\"socicon-behance socicon mbr-iconfont mbr-iconfont-social\"></span>\n </a>\n </div>\n </div>\n </div>\n </div>\n </div>\n </div>\n</section>",
"_cid": "rbKSjDM5fu",
"_anchor": "footer1-b",
"_protectedParams": [],
"_global": false,
"_once": false,
"_params": {}
}
]
}
}
}