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Machine Learning Solutions

You're reading from   Machine Learning Solutions Expert techniques to tackle complex machine learning problems using Python

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Product type Paperback
Published in Apr 2018
Publisher Packt
ISBN-13 9781788390040
Length 566 pages
Edition 1st Edition
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Author (1):
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Jalaj Thanaki Jalaj Thanaki
Author Profile Icon Jalaj Thanaki
Jalaj Thanaki
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Table of Contents (19) Chapters Close

Machine Learning Solutions
Foreword
Contributors
Preface
1. Credit Risk Modeling 2. Stock Market Price Prediction FREE CHAPTER 3. Customer Analytics 4. Recommendation Systems for E-Commerce 5. Sentiment Analysis 6. Job Recommendation Engine 7. Text Summarization 8. Developing Chatbots 9. Building a Real-Time Object Recognition App 10. Face Recognition and Face Emotion Recognition 11. Building Gaming Bot List of Cheat Sheets Strategy for Wining Hackathons Index

Implementing the revised approach


In this section, we will see the implementation in the form of a code snippet. We will be following the same step that we saw in the previous section. So, without any delay, let's look at the code. You can refer to this code by using this GitHub link: https://github.com/jalajthanaki/Sentiment_Analysis/blob/master/Revised_approach.ipynb.

Importing the dependencies

You can refer to the code snippet in the following figure, where you can find the imported dependencies as well:

Figure 5.13: Code snippet where we can see the imported dependencies

As you can see, we have used the TensorFlow backend with the Keras library.

Downloading and loading the IMDb dataset

You can refer to the code snippet in the following figure, where you can also find the code for downloading and loading the IMDb dataset:

Figure 5.14: Code snippet for downloading and loading the IMDb dataset

We have also set the value of the vocabulary.

Choosing the top words and the maximum text length

At this...

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