Machine Learning for Emotion Analysis in Python
eBook Details:
- Paperback: 334 pages
- Publisher: WOW! eBook (September 28, 2023)
- Language: English
- ISBN-10: 1803240687
- ISBN-13: 978-1803240688
eBook Description:
Machine Learning for Emotion Analysis in Python: Kickstart your emotion analysis journey with this step-by-step guide to data science success
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.
- 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
By the end of this Machine Learning for Emotion Analysis in Python book, you’ll be well-equipped to use emotion mining and analysis to drive business decisions.