Natural Language Processing (NLP) is a rising technique for developing various sorts of Artificial Intelligence (AI), and it will continue to be a major emphasis for more cognitive application. This article covered NLP's most beneficial uses. Our objective of this study is to provide a conceptual understanding of the many different areas where NLP has the potential to make a significant impact and change the entire landscape using its automating methods. It's a popular topic right now, and everybody wants to get in on the action by investing there. The completion of these implementations is made possible by detailed and in-depth research on NLP as well as the field it covers. The review begins with an explanation of the tendencies of NLP and the elements of NLP, and afterwards moves forward to the application of NLP as well as its development and issues. Text to speech generation, liver cancer diagnosis, sentence generator, graph-based technique, and postoperative complications prediction for patients with chronic conditions are some of the features that we have included in our discussion.

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Natural Language Processing: Innovations, Recent Trends and Challenges

  • Padma Prasada,
  • M. V. Panduranga Rao,
  • Ujwala Vishwanatharao Suryawanshi

摘要

Natural Language Processing (NLP) is a rising technique for developing various sorts of Artificial Intelligence (AI), and it will continue to be a major emphasis for more cognitive application. This article covered NLP's most beneficial uses. Our objective of this study is to provide a conceptual understanding of the many different areas where NLP has the potential to make a significant impact and change the entire landscape using its automating methods. It's a popular topic right now, and everybody wants to get in on the action by investing there. The completion of these implementations is made possible by detailed and in-depth research on NLP as well as the field it covers. The review begins with an explanation of the tendencies of NLP and the elements of NLP, and afterwards moves forward to the application of NLP as well as its development and issues. Text to speech generation, liver cancer diagnosis, sentence generator, graph-based technique, and postoperative complications prediction for patients with chronic conditions are some of the features that we have included in our discussion.