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A 7-post collection

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Hello, 1983

My boss asked me the other day if I could automate a Python notebook I wrote about analyzing the content of customer comments made about experiences »

Catherine Ordun Catherine Ordun on NLP, amazon, terminal, command prompt, colorama, matplotlib 21 June 2017

Amazon Food Reviews with Keras

I'm teaching myself TensorFlow and Keras. The entire principle of using data flow graphs and deep learning is really fascinating, but it's a learning curve for »

Catherine Ordun Catherine Ordun on amazon, NLP, kaggle, prediction, keras, tensorflow 21 April 2017

Amazon Food Reviews, Part V

In this final task, my goal is to predict the Amazon score (1 - 5) based on the reviews - a multiclass text classification problem. This »

Catherine Ordun Catherine Ordun on amazon, kaggle, sklearn, prediction, supervised, machine learning 21 April 2017

Amazon Food Reviews, Part IV

In Part I we did some exploratory analysis after using the TextBlob package to apply sentiment scores using its polarity method. We found the mean sentiment »

Catherine Ordun Catherine Ordun on textblob, sentiment, NLP, amazon, kaggle 19 April 2017

Amazon Food Reviews, Part III

Now that we know a little about the extremes of perfectly positive and negative sentiment reviews, let's analyze some key features of the text. Here we'll »

Catherine Ordun Catherine Ordun on NLP, amazon, kaggle 19 April 2017
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