Natural Language Processing (NLP) and Its Impact across Industries – Unlocking the True Potential of Digital Healthcare (A Case Study Approach)
Sourajit Roy, Pankaj Pathak, S. Nithya
Journal of Pharmaceutical Research International · pp. 86–98 · Published 7 Jul 2021
10.9734/jpri/2021/v33i35B31906Abstract
During the advent of the 21st century, technical breakthroughs and developments took place. Natural Language Processing or NLP is one of their promising disciplines that has been increasingly dynamic via groundbreaking findings on most computer networks. Because of the digital revolution the amounts of data generated by M2M communication across devices and platforms such as Amazon Alexa, Apple Siri, Microsoft Cortana, etc. were significantly increased. This causes a great deal of unstructured data to be processed that does not fit in with standard computational models. In addition, the increasing problems of language complexity, data variability and voice ambiguity make implementing models increasingly harder. The current study provides an overview of the potential and breadth of the NLP market and its acceptance in industry-wide, in particular after Covid-19. It also gives a macroscopic picture of progress in natural language processing research, development and implementation.
Cited by 1
Kumkum Singh, Saurabh Singh, Sheetu Wadhwa · Advances in Marketing, Customer Relationship Management, and E-Services · 2024
Related research
- Estimation of Community Views on Criminal Justice a Statistical Document Analysis Approach — shares topic coverage
- Survey of Methods in Sentiment and Emotional Analysis — shares topic coverage
- Review on Natural Language Processing Based on Different Techniques — shares topic coverage
- Topic Modeling and Sentiment Analysis of Electric Vehicles of Twitter Data — shares topic coverage
- Validation of Some Health Fitness Apps Using Users’ Reviews — shares topic coverage
Article metrics
Real usage data collected on this platform.
8
Page views
0
PDF downloads
0
Outbound clicks
1
Citations
Views over time
Views by country
Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".
Traffic sources
Referring site, by host.
Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.