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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

Selecting the machine learning algorithm


Sentiment analysis is a classification problem. There are some algorithms that can be really helpful for us. In movie reviews, you may discover that there are some phrases that appear quite frequently. If these frequently used phrases indicate some kind of sentiment, most likely, they are phrases that indicate a positive sentiment or a negative sentiment. We need to find phrases that indicate a sentiment. Once we find phrases that indicate sentiment, we just need to classify the sentiment either in a positive sentiment class or a negative sentiment class. In order to find out the actual sentiment class, we need to identify the probability of the most likely positive phrases and most likely negative phrases so that based on a higher probability value, we can identify that the given movie review belongs to a positive or a negative sentiment. The probabilities we will be taking into account are the prior and posterior probability values. This is the...

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