Natural Language Processing (NLP) Techniques: Usability in Human-Computer Interactions
Satyesh Das, Divyesh Das
Abstract
The study sheds light on the concept of Natural Language Processing (NLP) which enables Human-Computer Interaction (HCI). Recent advances in Artificial Intelligence (AI) and brain architecture have led to significant advancements in NLP. These upgrades have made it possible to use more recent dialect models and computations. Machines are now capable of understanding and producing human language with astounding accuracy and unmatched attentiveness due to the development of deep learning and the availability of large datasets. Evaluating the role of NLP in improving human-computer interaction is the main purpose of this paper. In regard to this, secondary methods have been used for data collection as well as thematic analysis process has been adopted for interpreting data. As results, it has been identified that NLP techniques enable computerised opinion research, supporting organisations in making information-driven decisions and boosting customer loyalty.