Comparative Study on Natural Language Processing

Authors

  • Lakshya Muralidhara  Dayananda Sagar College of Art Science and Commerce, Bangalore, Karnataka, India
  • Ashwini Patil  Dayananda Sagar College of Art Science and Commerce, Bangalore, Karnataka, India
  • Greeshma Murthy  Dayananda Sagar College of Art Science and Commerce, Bangalore, Karnataka, India
  • Dr. S. Kavitha  Dayananda Sagar College of Art Science and Commerce, Bangalore, Karnataka, India

Keywords:

Artificial Intelligence, Machine Learning, Linguistic, Ambiguous, Semantics

Abstract

Natural language processing (NLP) is a branch of that helps computers understand, interpret and manipulate human language. NLP draws from many disciplines, including computer science and computational linguistics, in its quest to fill the gap between human communication and computer understanding. Many organizations use NLP techniques to optimize customer support, improves the efficiency of text analytics by easily finding the information they need, and enhance social media monitoring. For example, banks might implement NLP algorithms to optimize customer support; a large consumer products brand might combine natural language processing and semantic analysis to improve their knowledge management strategies and social media monitoring.

References

  1. https://searchbusinessanalytics-techtarget- com.cdn.ampproject.org/v/s/searchbusinessan alytics.techtarget.com/definition/natural- language-processing- NLP?amp_js_v=a2&amp_gsa=1&amp=1&usqp= mq331AQEKAFwAQ%3D%3D#aoh=15685236195886&referrer=https%3A%2F%2Fwww.google.c om&amp_tf=From%20%251%24s&ampshare=h ttps%3A%2F%2Fsearchbusinessanalytics.techtar get.com%2Fdefinition%2Fnatural-language- processing-NLP
  2. https://ieeexplore.ieee.org/document/1587718/keywords
  3. https://machinelearningmastery.com/natural- language-processing/
  4. https://www.upwork.com/hiring/for- clients/artificial-intelligence-and-natural- language-processing-in-big-data/
  5. https://www.researchgate.net/publication/243962849_Overview_of_machine_translation_tec hniques
  6. https://en.m.wikipedia.org/wiki/Machine_trans lation
  7. https://towardsdatascience.com/5-heroic- tools-for-natural-language-processing-7f3c1f8fc9f0

Downloads

Published

2019-10-12

Issue

Section

Research Articles

How to Cite

[1]
Lakshya Muralidhara, Ashwini Patil, Greeshma Murthy, Dr. S. Kavitha, " Comparative Study on Natural Language Processing, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 4, Issue 7, pp.62-66, September-October-2019.