Machine Learning and Deep Learning in NLP by Anitha S. Pillai (.PDF)
File Size: 10 MB
Machine Learning and Deep Learning in Natural Language ProcessingMachine Learning and Deep Learning in Natural Language Processing by Anitha S. Pillai, Roberto Tedesco
Requirements: .PDF reader, 10 MB | True PDF
Overview: Natural Language Processing (NLP) is a sub-field of Artificial Intelligence, linguistics, and computer science and is concerned with the generation, recognition, and understanding of human languages, both written and spoken. NLP systems examine the grammatical structure of sentences as well as the specific meanings of words, and then they utilize algorithms to extract meaning and produce results. Machine Learning and Deep Learning in Natural Language Processing aims at providing a review of current Neural Network techniques in the NLP field, in particular about Conversational Agents (chatbots), Text-to-Speech, management of non-literal content – like emotions, but also satirical expressions – and applications in the healthcare field. Natural Language Processing (NLP) is a sub-field of Computer Science, information engineering, and Artificial Intelligence (AI) that deals with the computational processing and comprehension of human languages.
Genre: Non-Fiction > Tech & Devices
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