Machine Learning For Emotion Analysis In Python Allan Ramsay by Allan Ramsay, Tariq Ahmad 9781803990688, 1803249987 instant download after payment.

In this book, we will gradually build our understanding, starting with the basics of NLP and emotion representation. We will explore various techniques for feature extraction, sentiment analysis and emotion classification. We will learn how to pre-process text data, train machine learning models, and evaluate their performance in the context of emotion analysis. Additionally, we will delve into more advanced topics such as handling multi-label data and exploring deep learning approaches, and we will look at a case study involving tweets collected over an extended period, showing how they correlate with real-world events. We will also investigate how robustly models trained on one dataset behave when applied to another.

Readers will finally possess a solid foundation in emotion analysis and the ability to leverage Python’s extensive ecosystem to build sophisticated emotion-aware applications, being able to navigate the nuances of emotions expressed in text, unravel the hidden sentiment behind reviews and comments, and develop insightful solutions.