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 with staff. I said sure. Me: What
amazon
A collection of 7 posts
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 sure. I've been poking around the MNIST
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 post discusses the use of five pipeline
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 was around .24 and then spilt up
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 allow a user to retrieve the top
Amazon Food Reviews, Part II
Ok, so now that we explored the contents of the Amazon Fine Reviews data file, it's time to move on to the second task: How many reviews and products are perfectly positive and