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You're reading from  Automated Machine Learning with AutoKeras

Product typeBook
Published inMay 2021
Reading LevelBeginner
PublisherPackt
ISBN-139781800567641
Edition1st Edition
Languages
Python
Tools
Keras
Concepts
Deep Learning
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Author (1)
Luis Sobrecueva
Luis Sobrecueva
author image
Luis Sobrecueva

Luis Sobrecueva is a senior software engineer and ML/DL practitioner currently working at Cabify. He has been a contributor to the OpenAI project as well as one of the contributors to the AutoKeras project.
Read more about Luis Sobrecueva

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Predicting news popularity in social media

In this section, we will create a model that will find out the popularity score for an article on social media platforms, based on its text. For this, we will train the model with a News Popularity dataset collected between 2015 and 2016 (https://archive.ics.uci.edu/ml/datasets/News+Popularity+in+Multiple+Social+Media+Platforms).

As we want to approximate a score (number of likes), we will use a text regressor for this task.

In the next screenshot, you can see some samples taken from this dataset:

Figure 5.8 – A few samples from the News Popularity dataset

This notebook with the complete source code can be found at https://colab.research.google.com/github/PacktPublishing/Automated-Machine-Learning-with-AutoKeras/blob/main/Chapter05/Chapter5_SpamDetector.ipynb.

We will now explain the relevant code cells of the notebook in detail, as follows:

  • Getting the articles dataset: Before training, we...
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Automated Machine Learning with AutoKeras
Published in: May 2021Publisher: PacktISBN-13: 9781800567641
© 2021 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Luis Sobrecueva

Luis Sobrecueva is a senior software engineer and ML/DL practitioner currently working at Cabify. He has been a contributor to the OpenAI project as well as one of the contributors to the AutoKeras project.
Read more about Luis Sobrecueva

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