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	Comments on: Word2vec with gensim &#8211; a simple word embedding example	</title>
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		<title>
		By: tungnd		</title>
		<link>https://petaminds.com/word2vec-with-gensim-a-simple-word-embedding-example/#comment-6</link>

		<dc:creator><![CDATA[tungnd]]></dc:creator>
		<pubDate>Mon, 19 Oct 2020 21:59:20 +0000</pubDate>
		<guid isPermaLink="false">https://petaminds.com/?p=1127#comment-6</guid>

					<description><![CDATA[In reply to &lt;a href=&quot;https://petaminds.com/word2vec-with-gensim-a-simple-word-embedding-example/#comment-5&quot;&gt;stefano&lt;/a&gt;.

Version difference may be the cause!]]></description>
			<content:encoded><![CDATA[<p>In reply to <a href="https://petaminds.com/word2vec-with-gensim-a-simple-word-embedding-example/#comment-5">stefano</a>.</p>
<p>Version difference may be the cause!</p>
]]></content:encoded>
		
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		<title>
		By: stefano		</title>
		<link>https://petaminds.com/word2vec-with-gensim-a-simple-word-embedding-example/#comment-5</link>

		<dc:creator><![CDATA[stefano]]></dc:creator>
		<pubDate>Sun, 18 Oct 2020 15:01:02 +0000</pubDate>
		<guid isPermaLink="false">https://petaminds.com/?p=1127#comment-5</guid>

					<description><![CDATA[urllib.urlretrieve(textURL, &quot;big.txt&quot;) it should be urllib.request.urlretrieve(textURL, &quot;big.txt&quot;) !!!
also
error in
model = gensim.models.Word2Vec(
    [word_list],
    negative=10,
    iter=50,
    min_count=1,
    size=32 #dimension of the word vector
    )
can&#039;t concat str to bytes]]></description>
			<content:encoded><![CDATA[<p>urllib.urlretrieve(textURL, &#8220;big.txt&#8221;) it should be urllib.request.urlretrieve(textURL, &#8220;big.txt&#8221;) !!!<br />
also<br />
error in<br />
model = gensim.models.Word2Vec(<br />
    [word_list],<br />
    negative=10,<br />
    iter=50,<br />
    min_count=1,<br />
    size=32 #dimension of the word vector<br />
    )<br />
can&#8217;t concat str to bytes</p>
]]></content:encoded>
		
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