The AI winter has long thawed but many organizations are still failing to harness the power of machine learning ML If you want to tap that potential and add value to your own business with cutting edge emotion analysis you ve found what you need in this trusty guide In Machine Learning for Emotion Analysis you ll take your foundational data science skills and grow them in the exciting realm of emotion analysis With its practical approach you ll be equipped with everything you need to give your company a clear insight into what your customers are thinking This no nonsense guide jumps right into the practicalities of emotion analysis teaching you how to preprocess data build a serviceable dataset and ensure top notch data quality Once you re set up for success we get hands on with complex ML techniques This is where you go from the intermediate to the advanced covering deep neural networks support vector machines conditional probabilities and more as you experience the full breadth of possibilities with emotion analysis The book finally rounds out with a couple of in depth use cases a sort of sandbox for you to experiment with your newly acquired skill set By the end of this book you ll be ready to present yourself as a valuable asset to any organization that takes data science seriously