" The word vectors can be also used for deriving word classes from huge data sets. This is achieved by performing K-means clustering on top of the word vectors. "

yass のブックマーク 2013/08/17 18:37

<blockquote class="hatena-bookmark-comment"><a class="comment-info" href="https://b.hatena.ne.jp/entry/157991482/comment/yass" data-user-id="yass" data-entry-url="https://b.hatena.ne.jp/entry/s/code.google.com/archive/p/word2vec" data-original-href="https://code.google.com/archive/p/word2vec" data-entry-favicon="https://cdn-ak2.favicon.st-hatena.com/64?url=https%3A%2F%2Fcode.google.com%2Farchive%2Fp%2Fword2vec" data-user-icon="/users/yass/profile.png">Google Code Archive - Long-term storage for Google Code Project Hosting.</a><ul class="comment-tag" style="list-style: none; margin: 0px;"><li style="float: left">[<a href="https://b.hatena.ne.jp/q/google">google</a>]</li><li style="float: left">[<a href="https://b.hatena.ne.jp/q/similarity">similarity</a>]</li><li style="float: left">[<a href="https://b.hatena.ne.jp/q/dimension">dimension</a>]</li><li style="float: left">[<a href="https://b.hatena.ne.jp/q/nlp">nlp</a>]</li><li style="float: left">[<a href="https://b.hatena.ne.jp/q/vector">vector</a>]</li><li style="float: left">[<a href="https://b.hatena.ne.jp/q/%22deep%20learning%22">deep learning</a>]</li><li style="float: left">[<a href="https://b.hatena.ne.jp/q/word2vec">word2vec</a>]</li></ul><br><p style="clear: left">&quot; The word vectors can be also used for deriving word classes from huge data sets. This is achieved by performing K-means clustering on top of the word vectors. &quot;</p><a class="datetime" href="https://b.hatena.ne.jp/yass/20130817#bookmark-157991482"><span class="datetime-body">2013/08/17 18:37</span></a></blockquote><script src="https://b.st-hatena.com/js/comment-widget.js" charset="utf-8" async></script>

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