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Sentiment Analysis Explained In Plain English Wonderfully,
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This review is from: Sentiment Analysis: Mining Opinions, Sentiments, and Emotions (Hardcover)
Liu does a masterful job explaining Sentiment Analysis in a way that highly technical yet understandable. There is a great introduction explaining aspects of theory and systems in production. Throughout the book the author tells you which techniques only work in theory versus those that work in practice. A large amount of other texts and studies are referenced with a full bibliography in the back.
The beginning chapters start off by explaining how to tell if a sentence or document is positive or negative. Later more advanced topics are discussed like entity extraction and comparisons. The chapters are in a logical order which builds nicely on the previous ones.
Technical aspects of this book are concise and to the point. The level of explanations are understandable. That is not to say that this is an easy book; there are formulas especially in chapter 6 which are challenging. Latent Dirichlet Allocation is complicated no matter who is going to explain it, but this book makes it manageable.
The author is familiar with pretty much all the studies done on Sentiment Analysis as you will see reading this book. He openly admits which areas of Sentiment Analysis are underdeveloped and is critical of his own field in certain situations. The goal of the author appears to be to bridge the gap of the social scientist and the computer scientist, and with this book he is taking us one step closer.