Evaluation of Drug Addiction Causes in Punjab using Machine Learning

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Published: Apr 20, 2018
DOI: https://doi.org/10.26483/ijarcs.v9i2.5832
Keywords:
Drug Abuse, Punjab, Natural Language Processing

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Jaspreet Singh
Guru Nanak Dev University, Amritsar
Mandeep Kaur
Guru Nanak Dev University, Amritsar
Gurvinder Singh
Professor, Department of Computer Science, Guru Nanak Dev University, Amritsar

Abstract

Nowadays, one of the most prevalent issues of every nation in the world is drug addiction. The issue of drug abuse is more common in youth of age category from 15 to 45. Punjab is no exception to this fact. This paper evaluates various causes behind the drug addiction among Punjabi youth and proposed a machine learning model to identify the key parameters for the agony of Punjab. The pre-processing of proposed model involves data extraction from web sources and cleaning of data through basic Natural Language Processing techniques. The post-processing phase contains training and testing of neural network based machine learning model for the classification of Punjabi drug abusers. The proposed method recorded highest accuracy of classification among other benchmarks available in the literature.

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Vol. 9 No. 2 (2018): March-April 2018
Section
Articles

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References

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Kaur, Ravneet. "Prediction of Drug Addiction in Punjab with Fuzzy Expert System." IJESC (2016): 3068-3071.

K.Kaur. "Drug Abuse! Problem is intense in Punjab, India." Human Biology Review 2017.

http://www.business-standard.com/article/current-affairs/why-drugs-in-punjab-are-a-reality-even-if-the-censor-board-thinks-otherwise-116061000363_1.html

http://alcoholrehab.com/drug-addiction/drug-addiction-in-india/

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