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<!DOCTYPE html>
<html lang="en"><head>
<script src="slides_files/libs/clipboard/clipboard.min.js"></script>
<script src="slides_files/libs/quarto-html/tabby.min.js"></script>
<script src="slides_files/libs/quarto-html/popper.min.js"></script>
<script src="slides_files/libs/quarto-html/tippy.umd.min.js"></script>
<link href="slides_files/libs/quarto-html/tippy.css" rel="stylesheet">
<link href="slides_files/libs/quarto-html/light-border.css" rel="stylesheet">
<link href="slides_files/libs/quarto-html/quarto-html.min.css" rel="stylesheet" data-mode="light">
<link href="slides_files/libs/quarto-html/quarto-syntax-highlighting.css" rel="stylesheet" id="quarto-text-highlighting-styles"><meta charset="utf-8">
<meta name="generator" content="quarto-1.4.550">
<meta name="author" content="Claudiu Forgaci">
<meta name="author" content="Shuyu Zhang">
<meta name="dcterms.date" content="2024-03-20">
<title>Farming communities in Dutch media</title>
<meta name="apple-mobile-web-app-capable" content="yes">
<meta name="apple-mobile-web-app-status-bar-style" content="black-translucent">
<meta name="viewport" content="width=device-width, initial-scale=1.0, maximum-scale=1.0, user-scalable=no, minimal-ui">
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<style>
code{white-space: pre-wrap;}
span.smallcaps{font-variant: small-caps;}
div.columns{display: flex; gap: min(4vw, 1.5em);}
div.column{flex: auto; overflow-x: auto;}
div.hanging-indent{margin-left: 1.5em; text-indent: -1.5em;}
ul.task-list{list-style: none;}
ul.task-list li input[type="checkbox"] {
width: 0.8em;
margin: 0 0.8em 0.2em -1em; /* quarto-specific, see https://github.com/quarto-dev/quarto-cli/issues/4556 */
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<div class="slides">
<section id="title-slide" data-background-color="#00A6D6" class="quarto-title-block center">
<h1 class="title">Farming communities<br>in Dutch media</h1>
<p class="subtitle">Web Scraping & Topic Modeling using R</p>
<div class="quarto-title-authors">
<div class="quarto-title-author">
<div class="quarto-title-author-name">
Claudiu Forgaci
</div>
</div>
<div class="quarto-title-author">
<div class="quarto-title-author-name">
Shuyu Zhang
</div>
</div>
</div>
<p class="date">2024-03-20</p>
</section>
<section id="workshop-outline" class="title-slide slide level1 smaller center" data-background-color="#00A6D6">
<h1>Workshop outline</h1>
<ol type="1">
<li>Tutorial: Scraping data from social media (Shuyu) - 30 min</li>
<li>Tutorial: Finding topics in Dutch news (Claudiu) - 1 hour</li>
<li>Exercises: Visualising scraped data & topic modeling with your own data - 1 hour</li>
</ol>
</section>
<section id="setup" class="title-slide slide level1 center" data-background-color="#00A6D6">
<h1>Setup</h1>
<ol type="1">
<li>Log in to RStudio Server at <strong><a href="https://edu.nl/ph3a6" target="_blank">edu.nl/ph3a6</a></strong> with</li>
</ol>
<ul>
<li>the username from your handout</li>
<li>the password <b>Rban1smGuest</b></li>
</ul>
<ol start="2" type="1">
<li><p>Open <strong><a href="https://edu.nl/qh34g" target="_blank">edu.nl/qh34g</a></strong> in a new tab</p></li>
<li><p>When you are ready put a green sticky note on your laptop and follow the instructions on the presenter’s screen</p></li>
</ol>
</section>
<section id="part-1-scraping-data-from-social-media" class="title-slide slide level1 center" data-background-color="#009B77">
<h1>Part 1: Scraping data from social media</h1>
</section>
<section id="the-question" class="title-slide slide level1 center" data-background-color="#009B77">
<h1>The question</h1>
<p>What are the main farming-related topics discussed in social media?</p>
</section>
<section>
<section id="the-data" class="title-slide slide level1 center" data-background-image="fig/x.png">
<h1>The data</h1>
<p>Social media data<br>from Facebook or X</p>
</section>
<section id="why-social-media-data" class="slide level2">
<h2>Why social media data?</h2>
<p>In the digital media era, social media platforms and websites serve as valuable sources for collecting user-generated content, which in turn represents the voices and opinions of citizens. Twitter (X)’s real-time nature and vast array of tweets cover diverse topics, providing insights into current events, public reactions, and emerging trends. Similarly, Facebook’s extensive user base and features like status updates and comments offer rich data on user experiences and interactions.</p>
</section></section>
<section>
<section id="the-approach" class="title-slide slide level1 center" data-background-color="#009B77">
<h1>The approach</h1>
<p>Web scraping using the Chrome extension<br><b><a href="https://southampton.ac.uk/~lac/WebDataResearchAssistant/">Web Data Research Assistant</a></b></p>
</section>
<section id="what-is-web-scraping" class="slide level2">
<h2>What is web scraping?</h2>
<p>Web scraping is the process of extracting data from websites. It involves automated techniques to collect information from web pages or social media website, typically in formats such as HTML, XML, or JSON. Web scraping allows you to retrieve specific data elements, such as text, images, or tables, from web pages and store them for analysis or other purposes.</p>
</section></section>
<section id="application-in-rstudio" class="title-slide slide level1 center" data-background-color="#009B77">
<h1>Application in RStudio</h1>
<p>Open <strong><code>script_socialmedia.qmd</code></strong><br> and follow the instructions there</p>
</section>
<section id="part-2-finding-topics-in-the-dutch-news" class="title-slide slide level1 center" data-background-color="#0076C2">
<h1>Part 2: Finding topics in the Dutch news</h1>
</section>
<section id="the-question-1" class="title-slide slide level1 center" data-background-color="#0076C2">
<h1>The question</h1>
<p>What are the main farming-related topics discussed in Dutch news since 2022?</p>
</section>
<section id="the-data-1" class="title-slide slide level1 center" data-background-image="fig/news.jpg">
<h1>The data</h1>
<p>51 newspaper articles<br>in Dutch</p>
</section>
<section>
<section id="the-approach-1" class="title-slide slide level1 center" data-background-color="#0076C2">
<h1>The approach</h1>
<p>Quantitative analysis:<br>Topic modeling</p>
</section>
<section id="quantitative-analysis" class="slide level2">
<h2>Quantitative analysis</h2>
<p><b>Why?</b></p>
<ul>
<li>Reproducible - re-run the analysis with the same results</li>
<li>Automated - run the analysis on other data</li>
<li>Scalable - run the analysis on (much) more data</li>
</ul>
<p><b>Good to know:</b></p>
<ul>
<li>Requires (some) knowledge of statistics</li>
<li>Results depend on the amount and quality of data available</li>
</ul>
</section>
<section id="the-method" class="slide level2">
<h2>The method</h2>
<p>Topic modeling using Latent Dirichlet Allocation (LDA) is a method used to reveal latent topics in unstructured text data.</p>
<div class="columns">
<div class="column" style="width:65%;">
<p><img data-src="fig/lda.png"></p>
</div><div class="column" style="width:35%;">
<p>In an LDA model:</p>
<ul>
<li>documents are a mixture of topics</li>
<li>topics are a mixture of words</li>
</ul>
</div>
</div>
</section></section>
<section>
<section id="application-in-rstudio-1" class="title-slide slide level1 center" data-background-color="#0076C2">
<h1>Application in RStudio</h1>
<p>Open <strong><code>script.qmd</code></strong><br> and follow the instructions there</p>
</section>
<section id="found-this-workshop-useful" class="slide level2 smaller">
<h2>Found this workshop useful?</h2>
<p><strong>Reach out to us with questions</strong>:</p>
<ul>
<li>Claudiu Forgaci: C.Forgaci@tudelft.nl</li>
<li>Shuyu Zhang: S-Zhang-19@tudelft.nl</li>
</ul>
<p><strong>Follow Rbanism</strong>:</p>
<ul>
<li>Sign up for our newsletter: <a href="https://edu.nl/wxx98">edu.nl/wxx98</a></li>
<li>Follow us on <a href="https://instagram.com/rbanism_">instagram.com/rbanism_</a></li>
<li>See our website: <a href="https://rbanism.org">rbanism.org</a></li>
</ul>
<p><strong>Citation</strong>:</p>
<ul>
<li><p>Zhang, S., & Forgaci, C. (2024). <em>What do Facebook or X users say about farming in the Netherlands? - Word cloud analysis using R</em> TU Delft.</p></li>
<li><p>Forgaci, C. (2024). <em>What do the Dutch news say about farming communities? - A Topic modeling approach using R</em> TU Delft.</p></li>
</ul>
<div class="quarto-auto-generated-content">
<div class="footer footer-default">
<p>Web Scraping & Topic Modeling with R</p>
</div>
</div>
</section></section>
</div>
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