• Soham Shyamdhar Yadav
• Chiranjeev Dharma Turbadkar

Natural Language Processing (NLP) is an artificial intelligence (AI) subfield that focuses on interaction between computers and humans through a natural language. It involves developing algorithms and models to process, understand, and generate human language. NLP applications include machine translation, sentiment analysis, speech recognition, and text summarization. Key techniques involve syntactic and semantic analysis, enabling machines to grasp the structure and meaning of language. Recent advancements, particularly with deep learning models like transformers, have significantly improved NLP capabilities, enabling more accurate and context-aware language understanding. These developments have broad implications across various industries, enhancing everything from customer service with chatbots to data analysis and information retrieval. Despite these advances, challenges such as handling ambiguity, context, and diverse linguistic nuances remain critical areas of ongoing research.

"Natural Language Process", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 6, page no.c830-c840, June-2024, Available :http://www.jetir.org/papers/JETIR2406299.pdf

"Natural Language Process", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 6, page no. ppc830-c840, June-2024, Available at : http://www.jetir.org/papers/JETIR2406299.pdf