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A sober perspective on Deep Learning. Published: Sat 17 February 2018. This is a short tutorial to compare the outcome of applying Deep Learning techniques to a text classification problem, using word embeddings and a convolutional neural network (CNN), via Keras (with Theano, for simplicity - but any Keras backend will do), GloVe embeddings, and a SciKit-Learn dataset. The original tutorial is taken from very useful blog. We will work with a CNN to try and beat the best. We will be using Keras. 1] Thean...

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A sober perspective on Deep Learning. Published: Sat 17 February 2018. This is a short tutorial to compare the outcome of applying Deep Learning techniques to a text classification problem, using word embeddings and a convolutional neural network (CNN), via Keras (with Theano, for simplicity - but any Keras backend will do), GloVe embeddings, and a SciKit-Learn dataset. The original tutorial is taken from very useful blog. We will work with a CNN to try and beat the best. We will be using Keras. 1] Thean...

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fnl en España | fnl.es Reviews

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A sober perspective on Deep Learning. Published: Sat 17 February 2018. This is a short tutorial to compare the outcome of applying Deep Learning techniques to a text classification problem, using word embeddings and a convolutional neural network (CNN), via Keras (with Theano, for simplicity - but any Keras backend will do), GloVe embeddings, and a SciKit-Learn dataset. The original tutorial is taken from very useful blog. We will work with a CNN to try and beat the best. We will be using Keras. 1] Thean...

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fnl.es · A review of sparse sequence taggers

http://fnl.es/a-review-of-sparse-sequence-taggers.html

A review of sparse sequence taggers. Right now, use Wapiti. You want to go beyond first-order and/or linear models, need the fastest possible training cycles, or are a Scala programmer, in which case you would be best advised to choose Factorie. OK, so that's that for a stressed out generation; Read on if you want to know why I recommend those two tools. Controversy and therefore an ideal testing ground. Nearly any interesting natural language processing (NLP) task starts with word tagging. DNA bases (lo...

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fnl.es · Projects

http://fnl.es/pages/projects.html

A command-line tool for developing statistical models that the can be used classify text (streams). The library is based on SciKit-Learn and provides classifiers that make sense to use for this scenario: Ridge Regression, various SVMs, Random Forest, Maximum Entropy/Logistic Regression, and Naïve Bayes classifiers. My ever evolving Python 3 API and CLI for supporting all types of text mining tasks I do. So far, this collection provides the following interfaces:. Form a suite to train and use an. With the...

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fnl.es · An efficient online sequence tagger resource for GATE

http://fnl.es/an-efficient-online-sequence-tagger-resource-for-gate.html

An efficient online sequence tagger resource for GATE. For a stressed out generation: GATE. Framework is a CREOLE plug-in that allows you to wrap any existing sequence tagger. And use it to create annotations in your pipeline, but it is a bit slow. Therefore, I have created the Online Tagger. Of magnitude faster than the built-in framework. During any text mining course I teach, the most frequent question I get is what text mining software is around that can be used. In other words, most of my audience i...

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fnl.es · articles tagged "nlp"

http://fnl.es/tag/nlp.html

An efficient online sequence tagger resource for GATE. For a stressed out generation: GATE. Framework is a CREOLE plug-in that allows you to wrap any existing sequence tagger. And use it to create annotations in your pipeline, but it is a bit slow. Therefore, I have created the Online Tagger. Of magnitude faster than the built-in framework. During any text mining course I teach, the most frequent question I get is what text mining software is around that can be used. In other words, most of my audience i...

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fnl.es · articles tagged "Java"

http://fnl.es/tag/java.html

An efficient online sequence tagger resource for GATE. For a stressed out generation: GATE. Framework is a CREOLE plug-in that allows you to wrap any existing sequence tagger. And use it to create annotations in your pipeline, but it is a bit slow. Therefore, I have created the Online Tagger. Of magnitude faster than the built-in framework. During any text mining course I teach, the most frequent question I get is what text mining software is around that can be used. In other words, most of my audience i...

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A sober perspective on Deep Learning. Published: Sat 17 February 2018. This is a short tutorial to compare the outcome of applying Deep Learning techniques to a text classification problem, using word embeddings and a convolutional neural network (CNN), via Keras (with Theano, for simplicity - but any Keras backend will do), GloVe embeddings, and a SciKit-Learn dataset. The original tutorial is taken from very useful blog. We will work with a CNN to try and beat the best. We will be using Keras. 1] Thean...

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