NLP is an emerging market with tremendous growth potential across different industry verticals. This research service covers key applications of NLP and their use across industries. Applications that are bound to have high impact in in the marketplace in the near-term and medium-term are profiled. The study also captures the drivers and challenges and profiles top innovators in this space. An application roadmap along with analyst insights are also provided.
Natural Language Processing is a branch of Artificial Intelligence which helps in analysis and understanding of human language and in facilitating effective communication between humans and computers. It helps humans to interface with computers naturally through spoken or written context. The huge potential of the technology enables it to attack wide range of markets for delivering innovative applications to enhance user experience with the system.
This research service offers insights on how Natural Language Processing may have an impact across the industries. It also offers an insights on applications that might evolve in next 5-6 years.
This report provides:
Brief snapshot of the technology Natural Language Processing
A basic framework of the technology
Key Applications of NLP
Key Drivers and Key Challenges for the technology
Evaluation of Top 5 innovators in the space along with impact rating across industries
A snapshot of key industries which are experiencing the highest level of impact from NLP application
Technology and application roadmap showing the future prospect of NLP. It also depicts interaction of NLP with Top 50 technologies of Frost & Sullivan analysis.
Analyst insights on the market and emerging trends for Natural Language Processing.
Table Of Contents
Impact of Natural Language Processing in Key Applications (Technical Insights) Table of Contents
Executive Summary 3 Technology Overview 7 Natural Language Processing (NLP)-Why is it Important? 8 NLP-Standard Steps Involved In Processing Human Inputs 9 Key Applications of NLP 10 NLP: Key Industry Drivers 12 NLP: Key Challenges 13 Key Innovators and their Impact across Industries 14 Use and Impact of NLP across Industries 20 Future Prospect of NLP 28 Analyst Insights 30 Key Patents 31 Key Contacts 38 The Frost and Sullivan Story 42