feat: new content

index.html

@@ -522,7 +522,25 @@ <h2 id="visualization">Example visualizations</h2>
 
 <p>Below the topics are ranked by their numerical dominance in the sample corpus; each bar displays a topic’s dominance score.</p>
                 <p>
-                HIER DIE BALKEN
+                <p><span style="width: 100.0%;" class="main_button" >thought, good, life, ...</span></p>
+
+        <p><span style="width: 89.13489715930274%;" class="main_button">great, woman, poor, ...</span></p>
+
+        <p><span style="width: 73.50436362601585%;" class="main_button">day, young, house, ...</span></p>
+
+        <p><span style="width: 70.04487374855%;" class="main_button">answered, young, good, ...</span></p>
+
+        <p><span style="width: 66.54672385155594%;" class="main_button">course, house, duke, ...</span></p>
+
+        <p><span style="width: 57.102897153122%;" class="main_button">young, wife, ladies, ...</span></p>
+
+        <p><span style="width: 55.80861141380633%;" class="main_button">mother, work, she&#39;s, ...</span></p>
+
+        <p><span style="width: 54.68983772090733%;" class="main_button">young, play, days, ...</span></p>
+
+        <p><span style="width: 50.06522969439948%;" class="main_button">kennedy, violet, lord, ...</span></p>
+
+        <p><span style="width: 50.0%;" class="main_button">aunt, steerforth, mother, ...</span></p>
                 </p>
                 <p>Each document consists to a certain extent of each topic, which is one of the theoretical assumptions of topic models. Although some values are too small to be visualized here (and have therefore been rounded to zero), they are actually greater than zero.</p>
                 <p>Visualizing the document-topic proportions in a heatmap displays the kind of information that is probably most useful. Going beyond pure exploration, it can be used to show thematic developments over a set of texts, akin to a dynamic topic model.</p>