Advances in Natural Language Processing – A Survey of Current Research Trends, Development Tools and Industry Applications
Krishna Prakash Kalyanathaya1, D. Akila2, P. Rajesh3
1Krishna Prakash Kalyanathaya, M.Phil, Research Scholar, Department of Computer Science, VELS Institute of Science, Technology & Advanced Studies, Chennai (Tamil Nadu), India.
2D. Akila, Associate Professor, Department of Information Technology, School of Computing Sciences, VELS Institute of Science, Technology & Advanced Studies, Chennai (Tamil Nadu), India.
3P. Rajesh, Assistant Professor, Department of Information Technology, School of Computing Sciences, VELS Institute of Science, Technology & Advanced Studies, Chennai (Tamil Nadu), India.
Manuscript received on 10 February 2019 | Revised Manuscript received on 06 April 2019 | Manuscript Published on 28 April 2019 | PP: 199-201 | Volume-7 Issue-5C February 2019 | Retrieval Number: E10480275C19/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Natural Language Processing (NLP) is a subfield of Artificial Intelligence and getting lot of focus on research and development due to emergence of its applications. The research areas in focus are conversation systems, Language processing, Machine Translation, Deep learning. The researches in these areas lead to development of many tools to build industrial applications. Combining Deep Learning techniques with Natural Language Processing is finding lot of applications in domains such as Healthcare, Finance, Manufacturing, Education, Retail and customer service. This paper provides bird’s view of advancement in research, development and application areas of Natural Language Processing. This paper captures21research focus areas, 22 development tools and 6 domains where Natural Language Processing are making rapid advancements.
Keywords: Used in This Text: NLP, Natural Language Processing, Deep Learning, Sentiment Analysis, Question Answering, Dialogue Systems, Parsing, Named-Entity Recognition, POS Tagging, Chatbots, Human-Computer-Interface.
Scope of the Article: Natural Language Processing