What is Natural Language Processing? (NLP)

Natural Language is a powerful tool of Artificial Intelligence that enables computers to understand, interpret and generate human readable text that is meaningful. NLP is a method used for processing and analyzing the text data. In Natural Language Processing the text is tokenized means the text is break into tokens, it could be words, phrases or character. It is the first step in NLP task. The text is cleaned and preprocessed before applying Natural Language Processing technique.

Natural Language Processing technique is used in machine translation, healthcare, finance, customer service, sentiment analysis and extracting valuable information from the text data. NLP is also used in text generation and language modeling. Natural Processing technique can also be used in answering the questions. Many companies uses Natural Language Processing technique to solve their text related problems. Tools such as ChatGPT, Google Bard that trained on large corpus of test of data uses Natural Language Processing technique to solve the user queries.

In this evolving landscape of artificial intelligence(AI), Natural Language Processing(NLP) stands out as an advanced technology that fills the gap between humans and machines. In this article, we will discover the Major Challenges of Natural language Processing(NLP) faced by organizations. Understanding these challenges helps you explore the advanced NLP but also leverages its capabilities to revolutionize How we interact with machines and everything from customer service automation to complicated data analysis.