Comprehensive analysis of natural language processing
Department of Computer Applications, Global Group of Institutes, Amritsar (Punjab), India.
Review Article
Global Journal of Engineering and Technology Advances, 2024, 19(01), 083–090.
Article DOI: 10.30574/gjeta.2024.19.1.0058
Publication history:
Received on 23 February 2024; revised on 03 April 2024; accepted on 06 April 2024
Abstract:
Natural Language Processing (NLP) is a fascinating field of study that teaches computers to understand and use human language. This means that computers can read, write, and even translate text just like humans. NLP has many practical uses, such as categorizing text, identifying the tone of language, recognizing names in text, translating languages, and answering questions. NLP has come a long way since it was first developed. In the past, it relied on strict rules to understand language, but now it uses advanced techniques like machine learning and deep learning to understand text. However, there are still some challenges in NLP, such as understanding the meaning of words in context and considering cultural differences. Despite these challenges, NLP is being used in many different areas, from healthcare and finance to education and customer service. NLP is transforming the way humans interact with computers and is making it easier to extract important information from large amounts of text.
Keywords:
NLP; Natural Language Processing; NLP APIs; Phases of NLP; Application areas of NLP
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