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Chapter 1: Understanding the Basics of NLP
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Chapter 2: NLP Using Python
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Chapter 4: Transforming Text into DataStructures
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Chapter 5: Word Embeddings and DistanceMeasurements for Text
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Chapter 6: Exploring Sentence-, Document-,and Character-Level Embeddings
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Chapter 7: Identifying Patterns in Text UsingMachine Learning
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Chapter 8: From Human Neurons to ArtificialNeurons for Understanding Text
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Chapter 9: Applying Convolutions to Text
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Chapter 10: Capturing TemporalRelationships in Text
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Chapter 11: State of the Art in NLP
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