model &lt;- udpipe_download_model(language = <span class="hljs-string">"french"</span>)
ud_model &lt;- udpipe_load_model(ud_model$file_model)
x &lt;- udpipe_annotate(ud_model, x = comments$feedback, doc_id = comments$id)
x &lt;- as.data.frame(x)
</code></pre>
<p>The resulting data.frame has a field called <code>upos</code> which is the Universal Parts of Speech tag and also a field called <code>lemma</code> which is the root form of each token in the text. These 2 fields give us a broad range of topic model