This book investigates the application of machine learning and deep learning techniques to the task of sentiment analysis. It explores the process of automatically identifying and classifying opinions within text as positive, negative, or neutral, drawing on the growing trend in Natural Language Processing and Machine Learning research. The work details how sentiment classification, also referred to as opinion mining, functions to determine the emotional orientation expressed by customers in their written feedback.

The book addresses a highly relevant and trending topic in the fields of Natural Language Processing and Machine Learning. Its focus on sentiment classification and opinion mining suggests a practical application for understanding customer feedback. The material likely provides a technical overview of how machine learning and deep learning models are employed to categorize textual sentiment.