<h1>Part 4: Topic Classification of Social Media</h1>
<p><strong>Workshop: Social Media, Data Analysis, & Cartograpy, WS 2022/23</strong><p>
<p><em>Madalina Gugulica, <a href="mailto:alexander.dunkel@tu-dresden.de">Alexander Dunkel</a>, Institute of Cartography, TU Dresden</em><br><img src="https://kartographie.geo.tu-dresden.de/python_datascience_course/version.svg" style="float:left"></p></div>
<br> Leibniz Institute of Ecological Urban and Regional Development,
Transformative Capacities & Research Data Centre & TU Dresden,
Institute of Cartography</em></p><br><imgsrc="https://kartographie.geo.tu-dresden.de/ad/jupyter_python_datascience/version.svg"style="float:left"></p></div>
<li>Please make sure that <strong>"04_topics_env"</strong> is shown on the
<li>For this notebook, please make sure that <code>04_topics_env</code> is shown on the
<strong>top-right corner</strong>. If not, click & select.</li>
</ul>
<detailsstyle="margin-left: 1em;"><summarystyle="cursor: pointer;"><strong>Link the environment for this notebook, if not already done.</strong></summary>Use this command in a notebook cell: