eBook - ePub

Machine Learning for Emotion Analysis in Python

Name: Machine Learning for Emotion Analysis in Python
ISBN: 9781803246710

Build AI-powered tools for analyzing emotion using natural language processing and machine learning

Allan Ramsay,

Tariq Ahmad,

334 pages
English
ePUB (mobile friendly)
Available on iOS & Android

eBook - ePub

Machine Learning for Emotion Analysis in Python

Build AI-powered tools for analyzing emotion using natural language processing and machine learning

Allan Ramsay,

Tariq Ahmad,

About this book

Kickstart your emotion analysis journey with this step-by-step guide to data science success

Key Features

Discover the inner workings of the end-to-end emotional analysis workflow
Explore the use of various ML models to derive meaningful insights from data
Hone your craft by building and tweaking complex emotion analysis models with practical projects
Purchase of the print or Kindle book includes a free PDF eBook

Book Description

Artificial intelligence and machine learning are the technologies of the future, and this is the perfect time to tap into their potential and add value to your business. Machine Learning for Emotion Analysis in Python helps you employ these cutting-edge technologies in your customer feedback system and in turn grow your business exponentially. With this book, you'll take your foundational data science skills and grow them in the exciting realm of emotion analysis. By following a practical approach, you'll turn customer feedback into meaningful insights assisting you in making smart and data-driven business decisions.The book will help you understand how to preprocess data, build a serviceable dataset, and ensure top-notch data quality. Once you're set up for success, you'll explore complex ML techniques, uncovering the concepts of deep neural networks, support vector machines, conditional probabilities, and more. Finally, you'll acquire practical knowledge using in-depth use cases showing how the experimental results can be transformed into real-life examples and how emotion mining can help track short- and long-term changes in public opinion. By the end of this book, you'll be well-equipped to use emotion mining and analysis to drive business decisions.

What you will learn

Distinguish between sentiment analysis and emotion analysis
Master data preprocessing and ensure high-quality input
Expand the use of data sources through data transformation
Design models that employ cutting-edge deep learning techniques
Discover how to tune your models' hyperparameters
Explore the use of naive Bayes, SVMs, DNNs, and transformers for advanced use cases
Practice your newly acquired skills by working on real-world scenarios

Who this book is for

This book is for data scientists and Python developers looking to gain insights into the customer feedback for their product, company, brand, governorship, and more. Basic knowledge of machine learning and Python programming is a must.

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Yes, you can access Machine Learning for Emotion Analysis in Python by Allan Ramsay,Tariq Ahmad in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Science General. We have over one million books available in our catalogue for you to explore.