학술논문

A Survey on Mining Social Media Data for Understanding Drug Usage
Document Type
Conference
Source
2018 Conference on Emerging Devices and Smart Systems (ICEDSS) Emerging Devices and Smart Systems (ICEDSS), 2018 Conference on. :259-261 Mar, 2018
Subject
Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Photonics and Electrooptics
Power, Energy and Industry Applications
Signal Processing and Analysis
Data mining
Social network services
Drugs
Big Data
Computational modeling
Data models
data mining
social media
illicit drug
map reduce
Language
Abstract
The research on this review paper presents the complicated usage of prescribed drugs which perform under the area of data mining for managing high volume of data and usage of complex function for performing more refined analysis using cloud platform. The aim of this review paper is to understand the innovative and extensive frame that characterize drug abuse using social media. The concept of this review paper is an analytical approach to analyze social media by applying powerful techniques such as cloud computing and Map Reduce model. for acquiring the drug abuse emerge trends. This paper describes how to capture important data to evaluate from networks like Twitter, Facebook, and Instagram. Also, big data techniques are used for analysis of data content.