Deep Learning Based Approaches for Sentiment Analysis, Hardcover by Agarwal, …

Deep Learning Based Approaches for Sentiment Analysis, Hardcover by Agarwal, …

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Deep Learning Based Approaches for Sentiment Analysis, Hardcover by Agarwal, Patel, and Singh

Sentiment analysis, also known as opinion mining, is the process of determining the emotion or sentiment behind a piece of text. With the rise of social media and online reviews, sentiment analysis has become an important tool for businesses to understand customer feedback and make data-driven decisions.

In this groundbreaking book, authors Agarwal, Patel, and Singh present advanced deep learning-based approaches for sentiment analysis. Drawing on their expertise in natural language processing and machine learning, the authors provide a comprehensive overview of the latest techniques and algorithms for sentiment analysis.

From convolutional neural networks to recurrent neural networks, this book covers a wide range of deep learning models that have been successfully applied to sentiment analysis tasks. Readers will learn how to preprocess text data, build and train deep learning models, and evaluate the performance of their sentiment analysis systems.

Whether you are a seasoned data scientist looking to expand your knowledge of deep learning or a business professional interested in leveraging sentiment analysis for decision-making, this book is a must-read. Packed with practical examples and case studies, Deep Learning Based Approaches for Sentiment Analysis will equip you with the skills and knowledge needed to harness the power of deep learning for sentiment analysis.
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