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@@ -49,12 +49,12 @@ article.<pre tabindex=0 style=background-color:#fff><code><span style=display:fl
49</span></span></code></pre><h2 id=results-and-assets>Results and assets</h2><ol><li>Because of the small sample size further conclusions are impossible to make.<li>Rule-based approach may not be the best way of doing this. By using deep 49</span></span></code></pre><h2 id=results-and-assets>Results and assets</h2><ol><li>Because of the small sample size further conclusions are impossible to make.<li>Rule-based approach may not be the best way of doing this. By using deep
50learning we would be able to get better insights.<li><strong>Next step would be to</strong> periodically fetch RSS items and store them over a 50learning we would be able to get better insights.<li><strong>Next step would be to</strong> periodically fetch RSS items and store them over a
51longer period of time and then perform analysis again and use either machine 51longer period of time and then perform analysis again and use either machine
52learning or deep learning on top of it.</ol><figure><img src=/posts/sentiment-analysis/guardian-sa-title-desc-relationship.png alt="Relationship between title and description"></figure><p>Figure above displays difference between title and description sentiment for 52learning or deep learning on top of it.</ol><figure><img loading="lazy" src=/posts/sentiment-analysis/guardian-sa-title-desc-relationship.png alt="Relationship between title and description"></figure><p>Figure above displays difference between title and description sentiment for
53specific RSS feed item. 1 means positive and -1 means negative sentiment.<p><a href=/posts/sentiment-analysis/sentiment-analysis.ipynb>» Download Jupyter Notebook</a><h2 id=going-further>Going further</h2><ul><li><a href=https://github.com/bswiss/news_mood>Twitter Sentiment Analysis by Bryan Schwierzke</a><li><a href=https://github.com/thisandagain/sentiment>AFINN-based sentiment analysis for Node.js by Andrew Sliwinski</a><li><a href=https://github.com/adeshpande3/LSTM-Sentiment-Analysis>Sentiment Analysis with LSTMs in Tensorflow by Adit Deshpande</a><li><a href=https://github.com/abdulfatir/twitter-sentiment-analysis>Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc. by Abdul Fatir</a></ul></div></article></main><section><hr><h2>Posts from blogs I follow around the net</h2><ul><li><a href=https://utcc.utoronto.ca/~cks/space/blog/solaris/ZFSWhyNotDirectoryToFilesystem target=_blank rel=noopener>One reason that ZFS can't turn a directory into a filesystem</a> — <a href=https://utcc.utoronto.ca/~cks/space/blog/>Chris's Wiki :: blog</a><div>One of the wishes that I and other people frequently have for ZFS 53specific RSS feed item. 1 means positive and -1 means negative sentiment.<p><a href=/posts/sentiment-analysis/sentiment-analysis.ipynb>» Download Jupyter Notebook</a><h2 id=going-further>Going further</h2><ul><li><a href=https://github.com/bswiss/news_mood>Twitter Sentiment Analysis by Bryan Schwierzke</a><li><a href=https://github.com/thisandagain/sentiment>AFINN-based sentiment analysis for Node.js by Andrew Sliwinski</a><li><a href=https://github.com/adeshpande3/LSTM-Sentiment-Analysis>Sentiment Analysis with LSTMs in Tensorflow by Adit Deshpande</a><li><a href=https://github.com/abdulfatir/twitter-sentiment-analysis>Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc. by Abdul Fatir</a></ul></div></article></main><section><hr><h2>Posts from blogs I follow around the net</h2><ul><li><a href=https://utcc.utoronto.ca/~cks/space/blog/linux/NFSv4ServerLockClients target=_blank rel=noopener>Finding which NFSv4 client owns a lock on a Linux NFS(v4) server</a> — <a href=https://utcc.utoronto.ca/~cks/space/blog/>Chris's Wiki :: blog</a><div>A while back I wrote an entry about finding which NFS client owns
54is the ability to take an existing directory (and everything 54a lock on a Linux NFS server, which turned
55underneath it) in a ZFS filesystem and turn it into a sub-filesystem 55out to be specific to NFS v3 (which I really should have seen coming,
56of its own. One reason for wanting this is that a number of things 56since it involved NLM and lockd). Finding the NFS v4 client that
57are set and controlled on a per-filesyst…<li><a href=http://www.landley.net/notes-2023.html#28-10-2023 target=_blank rel=noopener>October 28, 2023</a> — <a href=http://www.landley.net/notes-2023.html>Rob Landley's Blog Thing for 2023</a><div>Oh good grief, two of my least favorite licensing people, Larry Rosen 57owns a lock is, depending on your perspective, either simpl…<li><a href=http://www.landley.net/notes-2023.html#28-10-2023 target=_blank rel=noopener>October 28, 2023</a> — <a href=http://www.landley.net/notes-2023.html>Rob Landley's Blog Thing for 2023</a><div>Oh good grief, two of my least favorite licensing people, Larry Rosen
58and Bradley Kuhn, are interacting on the OSI's license-discuss 58and Bradley Kuhn, are interacting on the OSI's license-discuss
59list where the're doing 59list where the're doing
60bad computer history and insisting that a guy Larry Rosen 60bad computer history and insisting that a guy Larry Rosen