Natural Language Processing: Revolutionizing HumanComputer Interaction
Gulafsha Anjum, Kuldeep Soni, Urmila Patel, Ankit Kachhi · International Journal of Innovative Research in Computer and Communication Engineering · 2023
In the rapidly evolving field of artificial intelligence, Natural Language Processing (NLP) has emerged as a pivotal technology, fundamentally transforming human-computer interaction. NLP, a subfield of AI focusing on the interaction between computers and human languages, enables machines to understand, interpret, and generate human language in a meaningful and useful manner. As reliance on digital communication and intelligent systems grows, the demand for more sophisticated and intuitive human-computer interaction becomes increasingly critical. The development of NLP technologies has opened new avenues for innovation, facilitating more natural and efficient interfaces that bridge the gap between human language and machine understanding. From virtual assistants like Siri and Alexa to advanced machine translation services such as Google Translate, NLP applications are becoming ubiquitous, enhancing user experience and accessibility across various platforms and devices. These advancements are not only transforming everyday interactions but also revolutionizing fields such as healthcare, education, and customer service. The proposed method in this study demonstrates significant advancements in NLP accuracy and performance. It achieves an accuracy rate of 97.6%, with a mean absolute error (MAE) of 0.403 and a root mean square error (RMSE) of 0.203. Despite inherent challenges such as the complexity of human language, continuous research and development are driving remarkable progress. This paper explores the revolutionary impact of NLP on human-computer interaction, delving into the historical evolution of NLP, examining current state-of-the-art technologies, and highlighting key applications reshaping various industries. Furthermore, it discusses ethical considerations and future prospects of NLP, underscoring its potential to create more seamless, intelligent, and human-centric computational systems.