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<!DOCTYPE NETSCAPE-Bookmark-file-1>
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It will be read and overwritten.
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<META HTTP-EQUIV="Content-Type" CONTENT="text/html; charset=UTF-8">
<TITLE>Bookmarks</TITLE>
<H1>Bookmarks</H1>
<DL><p>
<DL><p>
<DT><H3 ADD_DATE="1460338604" LAST_MODIFIED="1461266252">Sentiment</H3>
<DL><p>
<DT><A HREF="https://sergeytihon.wordpress.com/category/nlp/" ADD_DATE="1460321365" ICON="data:image/png;base64,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">NLP | Sergey Tihon's Blog</A>
<DT><A HREF="http://sergey-tihon.github.io/Stanford.NLP.NET/StanfordCoreNLP.html" ADD_DATE="1458017156">Stanford CoreNLP for .NET</A>
<DT><A HREF="https://cloud.google.com/prediction/docs/sentiment_analysis" ADD_DATE="1458190095" ICON="data:image/png;base64,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">Creating a Sentiment Analysis Model - Prediction API — Google Cloud Platform</A>
<DT><A HREF="http://sentiment.christopherpotts.net/tokenizing.html" ADD_DATE="1460322556">Sentiment Symposium Tutorial: Tokenizing</A>
<DT><A HREF="http://www.codeproject.com/Articles/7664/StringTokenizer" ADD_DATE="1460322599" ICON="data:image/png;base64,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">StringTokenizer - CodeProject</A>
<DT><A HREF="https://iamtrask.github.io/2015/11/15/anyone-can-code-lstm/" ADD_DATE="1460348417">Anyone Can Learn To Code an LSTM-RNN in Python (Part 1: RNN) - i am trask</A>
<DT><A HREF="http://iamtrask.github.io/2015/07/12/basic-python-network/" ADD_DATE="1460350190">A Neural Network in 11 lines of Python (Part 1) - i am trask</A>
<DT><A HREF="https://code.google.com/archive/p/word2vec/" ADD_DATE="1460386579" ICON="data:image/png;base64,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">Google word2vec</A>
<DT><A HREF="https://github.com/kjw0612/awesome-rnn" ADD_DATE="1460404624" ICON="data:image/png;base64,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">awesome-rnn</A>
<DT><A HREF="http://www.cnblogs.com/neopenx/p/4806006.html" ADD_DATE="1460466608" ICON="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAC8ElEQVQ4jS3TXWjVdQDG8c/vf943c3NLN0Qk05q0kNLsRXohJAvsIrpJoSwMDaKuvKwLQ6K6Knq5ECrpJr2IKDGzsIukqMgXSMRppkzbdGxz052zs/M//3N+XazbL88DX3h4gr1xP7aIYkiEEGinyFAkn6Md/2dtQhlBjFHAgZD/JEYIgRjJmgz28eoaHumno0Da5t8qX13ky3NUm4T8fD5U3o/tkAjtOA/efpRda/llhCPDjM2yoMD9fWxdzakJNh/kap18TswXsnnt2YxPN7PtbrYfZt9pQgsJMdBR4sAQ3z7Duw/y4mFKJSEpt6hV2T44X95xkH3HyDVYVODX5xl/nYnXOHOZHYfYdheDXaR18rFBf4E9j3PoLJ/9zq7HSALHR/hhiJ8L3Giw8TYGeol4egXvjZBPazw52LK4M/P5b0WVVnBnNy8/QKPF9BxpRqVAb4VjF/nzCg8tpdwiiXOs7m4YHav561LQm+PNbxjcwxMfcv4a7RaFwDtH2fgBI1MsX0hnJKm06SnUXRpLxTkKGUvykUZ06gKHT2WydM7N2aZ0rk3KdJUE+ZSklCFtqFXrihm1m7y07oa3Nl1XadGoZebqs2aqdeV2Uy5jQa6pmWYKGUkuZfhaTk9pWnfSUsq4PtW2pn9Sd47bu2ZdHU+d+Ltl4x03LO9gSbludHxO0iDpDJwdXqhSaFq/bEqScuZSRaNe89FzQzatHvHjyZIvji5UNmvvC6NW9k47N9yiQW75+t27J6sFA0urHh6YdOLCrc6Pllwcu8WijoafTvc4cqLX2FRiZCJn64YRV8Zz9n7fJzYT4b5XYrvZEvq6Gt54dkguafv6j2VOX+4yfrOos9yyqq/q3hXTNgxMmJwp+fjIKpfHy8pFMazbGWMI81sv6sw8dc8161dOqRQzzVYil0TFXNtMI+/4Pz2+O9lvupZXLsy/NKzdGfcHtiRBbLaEepOF5WhxV6qUb4mYbeRNzhTNppTyFHJiOwqRA/8BzptRZSRSAUUAAAAASUVORK5CYII=">Theano：LSTM源码解析</A>
<DT><A HREF="https://apaszke.github.io/lstm-explained.html" ADD_DATE="1460548631">LSTM implementation explained</A>
<DT><A HREF="http://colah.github.io/posts/2014-07-NLP-RNNs-Representations/" ADD_DATE="1460549213" ICON="data:image/png;base64,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">Deep Learning, NLP, and Representations - colah's blog</A>
<DT><A HREF="http://veredshwartz.blogspot.co.il/2016/01/representing-words.html" ADD_DATE="1460549298" ICON="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAA3klEQVQ4jWNkgIJ/aUz/GUgATLP+MTIwMDAwkqMZ2RBGcjXDAAuGSEQPA4NFAgMDhwBC7MIGBoYlKQwMXz5gugJDs0MBqmYGBgYGgwAGhow1WF2AaoBFAoK9IAGCf0BtVXFgYJAxIOAFmM1rChgYTixBiCcsQLiEgYGB4ckFuBRqIM74g9WZGCADYS8THmVEAcxYYGCAeGHPFFQxlxwGhpAJBAz48QESDiETMKMMpvkHqjiqAScWQKKRgQERcOjgBKo4qgErSiA0ekKC2XxiAUINFFCclCnPTDAOudkZAEkvQ+XgMBz1AAAAAElFTkSuQmCC">Probably Approximately a Scientific Blog: Representing Words</A>
<DT><A HREF="http://deeplearning4j.org/word2vec.html" ADD_DATE="1460549310" ICON="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAABXklEQVQ4jaWTPU/CUBSGn1tKC0IlQTQaK8Sv0YTFwTjA6oCJzi7+BePo6ODkD3BwcXRycTUxMS7GmBhXJ4hBBVFJaCvtdcBICxKIvNO9Oec8Oe895wrLakiGkOq/SClx3Q6eAEUIhBAI0Qfw+lJj6/w5mKFALKaRN+NsZ5MYeijI91solqosnD4BEAZUAY4E9ye+YsY5K5iM+iBKL2+HuUkuN9Kcr5vszEfRgOtinaP7984G/5JgcWKEpbRBbi7B/toMm+MttycPbziyLyAoRQ1TmI0CULGa1BpuOzYIACAT0QCwXY8P+x+AutcqUoVAD7XnOSBAclOxANBVhUS0PX21V4knJa7rIaWkWP7k+NEGYHU6jhEW/QCSvYsSSU3QdFzuqk1qEoywwu7yGP6F7NnBbcX5PRshyCZ0DvJTZFNaIC+wiZb1xVXZ7oKldYVMKoKmdj+ZGPY3DjzGXvoGn7dr+28Mz5EAAAAASUVORK5CYII=">Word2vec: Neural Word Embeddings in Java - Deeplearning4j: Open-source, distributed deep learning for the JVM</A>
<DT><A HREF="https://github.com/eabdullin/Word2Vec.Net" ADD_DATE="1460549941" ICON="data:image/png;base64,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">GitHub - eabdullin/Word2Vec.Net: implementation Word2Vec for .Net framework</A>
<DT><A HREF="http://www.robosoup.com/2016/02/word2vec-lightweight-c-port.html" ADD_DATE="1460549947" ICON="data:image/png;base64,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">Robosoup: Word2Vec Lightweight C# Port</A>
<DT><A HREF="http://deeplearning.net/tutorial/contents.html" ADD_DATE="1460551370">Contents — DeepLearning 0.1 documentation</A>
<DT><A HREF="https://www.kaggle.com/c/word2vec-nlp-tutorial" ADD_DATE="1460556939" ICON="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAABUElEQVQ4jc2STyiDYRzHv79RSi8R9seBFFmm5WJxkCQ5OFAODuQ0SXGcg4u4+HOQcqKclD8HB9ROi8uKlLQ1qU1e7TJrasy2JtbXSc3y6p2T7/H5fp7P86vfA+Rl54GujRCXSJbmd7oy6OW9w0NGkzTp4Q1/euVfCYr1QLEULUePmACAbiMOm8rkRvcEsRQtUz6cbqlYCCVhb1QQzO1/FbySNdN+eMJpWPvN2F22Y0RE3nUJ4oDJeY4zNYWWATO2F20YE5FsPqcpcF3jWE3D1mfE3nyrOEWEP3Gagugb6gEgkEBHgqzW4jQFo3VY7ayCO5JBw+wVDkgWabHfkvuVn8nKIS/vHB5yLcj1giYAgAqR+EobhksMSO+HMXMS4XhBAgBoVsQ3Z8UkAKzcYjPwwvbcXvIvXD6xN/MBpcsEd+7OL2LsSWdRXqtAtSri/zr/BAdQfXlyehe3AAAAAElFTkSuQmCC">Bag of Words Meets Bags of Popcorn | Kaggle</A>
<DT><A HREF="https://linanqiu.github.io/2015/10/07/word2vec-sentiment/" ADD_DATE="1460557223">Sentiment Analysis Using Doc2Vec | Pandamonium</A>
<DT><A HREF="https://districtdatalabs.silvrback.com/modern-methods-for-sentiment-analysis" ADD_DATE="1460557265" ICON="data:image/png;base64,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">District Data Labs - Modern Methods for Sentiment Analysis</A>
<DT><A HREF="http://deeplearning.net/tutorial/lstm.html" ADD_DATE="1460564620">LSTM Networks for Sentiment Analysis — DeepLearning 0.1 documentation</A>
<DT><A HREF="http://scikit-learn.org/stable/" ADD_DATE="1460814663" ICON="data:image/png;base64,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">scikit-learn: machine learning in Python — scikit-learn 0.17.1 documentation</A>
<DT><A HREF="https://marcobonzanini.com/2015/01/19/sentiment-analysis-with-python-and-scikit-learn/" ADD_DATE="1460815395" ICON="data:image/png;base64,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">Sentiment Analysis with Python and scikit-learn – Marco Bonzanini</A>
<DT><A HREF="http://keras.io/layers/recurrent/" ADD_DATE="1461098829" ICON="data:image/png;base64,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">Recurrent Layers - Keras Documentation</A>
<DT><A HREF="http://deeplearning.net/software/theano/tutorial/using_gpu.html#using-gpu" ADD_DATE="1461185680">Using the GPU — Theano 0.8.0 documentation</A>
<DT><A HREF="http://colah.github.io/posts/2015-08-Understanding-LSTMs/" ADD_DATE="1461213972" ICON="data:image/png;base64,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">Understanding LSTM Networks -- colah's blog</A>
<DT><A HREF="http://neuralnetworksanddeeplearning.com/index.html" ADD_DATE="1461249706">Neural networks and deep learning</A>
<DT><A HREF="https://github.com/HIPS/autograd/blob/master/examples/lstm.py" ADD_DATE="1461266252" ICON="data:image/png;base64,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">autograd/lstm.py at master · HIPS/autograd</A>
</DL><p>
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</DL><p>