|Hands-On Natural Language Processing with Python (Packt)|
|Thursday, 09 August 2018|
This book shows how to use deep learning models for performing various Natural Language Processing tasks, along with best practices in dealing with today’s NLP challenges. Authors Rajesh Arumugam and Rajalingappaa Shanmugamani begin with core concepts of NLP and deep learning, such as Convolutional Neural Networks (CNNs), recurrent neural networks (RNNs), semantic embedding and Word2vec. They show how to use RNNs and CNNs in various application areas, such as text classification and sequence labeling and also cover the use of TensorFlow in implementing deep learning in linguistic applications.
Authors: Rajesh Arumugam and Rajalingappaa Shanmugamani
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