CFP last date
22 April 2024
Reseach Article

Qualitative Neuro Linguistic Programming using Meta Modeling and Python

by Arun Kumar, Supriya P. Panda
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 175 - Number 26
Year of Publication: 2020
Authors: Arun Kumar, Supriya P. Panda
10.5120/ijca2020920804

Arun Kumar, Supriya P. Panda . Qualitative Neuro Linguistic Programming using Meta Modeling and Python. International Journal of Computer Applications. 175, 26 ( Oct 2020), 20-24. DOI=10.5120/ijca2020920804

@article{ 10.5120/ijca2020920804,
author = { Arun Kumar, Supriya P. Panda },
title = { Qualitative Neuro Linguistic Programming using Meta Modeling and Python },
journal = { International Journal of Computer Applications },
issue_date = { Oct 2020 },
volume = { 175 },
number = { 26 },
month = { Oct },
year = { 2020 },
issn = { 0975-8887 },
pages = { 20-24 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume175/number26/31615-2020920804/ },
doi = { 10.5120/ijca2020920804 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:40:49.313628+05:30
%A Arun Kumar
%A Supriya P. Panda
%T Qualitative Neuro Linguistic Programming using Meta Modeling and Python
%J International Journal of Computer Applications
%@ 0975-8887
%V 175
%N 26
%P 20-24
%D 2020
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Neuro-Linguistic Programming (NLP) is a way to change the behavioral patterns of the human mind. This technique is very useful to reduce the stress and anxiety patterns of the mind. These patterns are considered as negative sentiments of the human mind. The sentiments and emotions will become the programming of the human mind. The human brain tends to store each piece of information and make it programmed in a short interval of time. NLP is a vast area to recognize the emotional as well as practical aspects of the human mind. NLP Workshops and various training methods have been used to change and trained the behavioral patterns of the mind. V/KD used in earlier research and Meta-modeling in current research will be the important tools to convert the old patterns into new ones. This research paper will focus on the realistic mind pattern and improve it based on the current patterns of mind. NLP workshops and Qualitative surveys have been used in the methodology of the workshop. Data has been collected from various social communities and professional organizations. This research has been more impactful when used Meta modeling tools and Python for implementation. Meta-modeling tools are used to delete the old patterns of mind and create a new one as per the needs and requirements. A large number of participants attended the trial versions of NLP and enrolls themselves in NLP workshops to build new behavioral patterns. In this research, various NLP tools have been used to build new behavioral patterns of the human mind.

References
  1. 1.Ahmad, K. Z., 2017, Improving Emotional Intelligence using Neuro Linguistic Programming techniques, International Conference on Advances in Business, Management and Law (ICABML) ,Vol. 1, No. 1, pp. 172-183.
  2. 2. Carey, J., Churches, R., Hutchinson, G., Jones, J., & Tosey, P. ,2010. Neuro-Linguistic Programming and Learning: Teacher Case Studies on the Impact of NLP in Education, Online Submission.
  3. 3. Florina, G.E., Teodor, G.V., Cornelia, P.S. and Marin, D., 2015, Neuro-linguistic programming and the relationship between attention and anxiety in Alpine skiing juniors, Procedia-Social and Behavioral Sciences, 191, pp.1634-1638.
  4. 4. Gaspar, R., Pedro, C., Panagiotopoulos, P. and Seibt, B., 2016, Beyond positive or negative: Qualitative sentiment analysis of social media reactions to unexpected stressful events, Computers in Human Behavior, 56, pp.179-191.
  5. 5. Gibson, B. ,2011, The Complete Guide to Understanding and Using NLP: Neuro-linguistic Programming Explained Simply. Atlantic Publishing Company.
  6. 6. Grosu, E. F., Grosu, V. T., Preja, C. A., & Iuliana, B. B. ,2014, Neuro-linguistic Programming based on the Concept of Modelling, Procedia-Social and Behavioral Sciences, 116, 3693-3699.
  7. 7. Grinder, J., & Pucelik, F. ,2012, the Origins of Neuro Linguistic Programming, Crown House Publishing.
  8. Hosseinzadeh, E. and Baradaran, A., 2015, Investigating the Relationship between Iranian EFL Teachers' Autonomy and Their Neuro-Linguistic Programming, English Language Teaching, 8(7), pp.68-75.
  9. Karunaratne, M., 2010, Neuro-linguistic programming and application in treatment of phobias, Complementary therapies in clinical practice, 16(4), pp.203-207.
  10. Kök, İ., 2014, Listening comprehension achievement and brain dominance, Procedia-Social and Behavioral Sciences, 122, pp.329- 334.
  11. Kotera, Y., & Sweet, M. (2019), Comparative evaluation of neurolinguistic programming. British Journal of Guidance & Counselling, 1-13.
  12. Lashkarian, A. ,and Sayadian, S. ,2015, The effect of NeuroLinguistic Programming techniques on young Iranian EFL Learners’ motivation, learning improvement, and on teacher's success, ProcediaSocial and Behavioral Sciences, 199, pp.510-516.
  13. Louis Sinclair. (2019), A Complete Guide to Neuro Linguistic Programming.
  14. Neidhardt, J., Rümmele, N. and Werthner, H., 2017, Predicting happiness: user interactions and sentiment analysis in an online travel forum, Information Technology & Tourism, 17(1), pp.101-119.
  15. Learners’ motivation, learning improvement, and on teacher's success. Procedia-Social and Behavioral Sciences, 199, pp.510-516.
  16. Neidhardt, J., Rümmele, N. and Werthner, H., 2017, predicting happiness: user interactions and sentiment analysis in an online travel forum, Information Technology & Tourism, 17(1), pp.101-119.
  17. Passmore, J. and Rowson, T., 2019, Neuro-linguistic programming: A review of NLP research and the application of NLP in coaching. International Coaching Psychology Review, 14(1), p.57.
  18. Roderique-Davies, G., 2009, Neuro-linguistic programming: cargo cult psychology, Journal of applied research in higher education, 1(2), pp.58-63.
Index Terms

Computer Science
Information Sciences

Keywords

Neuro-Linguistic Programming Meta- Modeling Tools Qualitative Surveys Sentiment Detection Sentiment Correction Python