Natural Language Processing (NLP) is a state-of-the-art technology that deciphers human language and makes it possible for machines to comprehend and communicate with humans in ways never seen before. NLP is redefining almost every industry from healthcare to customer service, and it is also changing how humans interact with technology and with each other. This paper discusses the different NLP tasks, approaches, applications along with the current trends, challenges and future directions. This paper also illustrates the different NLP problems along with the existing solutions using different models and techniques. This paper also provides a comparative analysis between different approaches of NLP using different parameters to identify best approach.

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A Comprehensive Review of Machine Learning and Deep Learning-Based Natural Language Processing Techniques

  • Neeru Sharma,
  • Saravjeet Singh

摘要

Natural Language Processing (NLP) is a state-of-the-art technology that deciphers human language and makes it possible for machines to comprehend and communicate with humans in ways never seen before. NLP is redefining almost every industry from healthcare to customer service, and it is also changing how humans interact with technology and with each other. This paper discusses the different NLP tasks, approaches, applications along with the current trends, challenges and future directions. This paper also illustrates the different NLP problems along with the existing solutions using different models and techniques. This paper also provides a comparative analysis between different approaches of NLP using different parameters to identify best approach.