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	<title>KeyBERT - Cronologia</title>
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	<updated>2026-05-14T05:25:32Z</updated>
	<subtitle>Cronologia della pagina su questo sito</subtitle>
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		<id>https://wiki.mindmaker.it/index.php?title=KeyBERT&amp;diff=3133&amp;oldid=prev</id>
		<title>Alesaccoia: Creata pagina con &quot;Interessante tecnica per l&#039;estrazione delle parole chiave da un testo, che consiste in (quote direttamente dall&#039;implementazione):&lt;blockquote&gt;A minimal method for keyword extraction with BERT  The keyword extraction is done by finding the sub-phrases in  a document that are the most similar to the document itself.  First, document embeddings are extracted with BERT to get a  document-level representation. Then, word embeddings are extracted  for N-gram words/phrases. Fina...&quot;</title>
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		<updated>2024-10-06T19:37:03Z</updated>

		<summary type="html">&lt;p&gt;Creata pagina con &amp;quot;Interessante tecnica per l&amp;#039;estrazione delle parole chiave da un testo, che consiste in (quote direttamente dall&amp;#039;implementazione):&amp;lt;blockquote&amp;gt;A minimal method for keyword extraction with BERT  The keyword extraction is done by finding the sub-phrases in  a document that are the most similar to the document itself.  First, document embeddings are extracted with BERT to get a  document-level representation. Then, word embeddings are extracted  for N-gram words/phrases. Fina...&amp;quot;&lt;/p&gt;
&lt;p&gt;&lt;b&gt;Nuova pagina&lt;/b&gt;&lt;/p&gt;&lt;div&gt;Interessante tecnica per l&amp;#039;estrazione delle parole chiave da un testo, che consiste in (quote direttamente dall&amp;#039;implementazione):&amp;lt;blockquote&amp;gt;A minimal method for keyword extraction with BERT&lt;br /&gt;
&lt;br /&gt;
The keyword extraction is done by finding the sub-phrases in&lt;br /&gt;
&lt;br /&gt;
a document that are the most similar to the document itself.&lt;br /&gt;
&lt;br /&gt;
First, document embeddings are extracted with BERT to get a&lt;br /&gt;
&lt;br /&gt;
document-level representation. Then, word embeddings are extracted&lt;br /&gt;
&lt;br /&gt;
for N-gram words/phrases. Finally, we use cosine similarity to find the&lt;br /&gt;
&lt;br /&gt;
words/phrases that are the most similar to the document.&lt;br /&gt;
&lt;br /&gt;
The most similar words could then be identified as the words that&lt;br /&gt;
&lt;br /&gt;
best describe the entire document.&amp;lt;/blockquote&amp;gt;&lt;br /&gt;
&lt;br /&gt;
=== Collegamenti ===&lt;br /&gt;
https://github.com/MaartenGr/KeyBERT?tab=readme-ov-file&lt;br /&gt;
&lt;br /&gt;
https://towardsdatascience.com/keyword-extraction-with-bert-724efca412ea&lt;br /&gt;
[[Categoria:Tecnica]]&lt;/div&gt;</summary>
		<author><name>Alesaccoia</name></author>
	</entry>
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