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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

The best approach


There are some steps that we can follow in order to obtain the best possible approach. In this approach, we have used a glove pretrained model and have trained the model using the RNN and LSTM networks. The glove model has been pretrained on a large dataset so that it can generate more accurate vector values for words. That is the reason we are using glove here. In the next section, we will look at the implementation of the best approach. You can find all the code at this GitHub link: https://github.com/jalajthanaki/Sentiment_Analysis/blob/master/Best_approach_sentiment_analysis.ipynb.

Implementing the best approach

In order to implement the best approach, we will be performing the following steps:

  • Loading the glove model

  • Loading the dataset

  • Preprocessing

  • Loading the precomputed ID matrix

  • Splitting the train and test datasets

  • Building a neural network

  • Training the neural network

  • Loading the trained model

  • Testing the trained model

Loading the glove model

In order to get the best performance...

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