Open AccessSocial Media Data using Various Classification Algorithms in Datamaning
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.l1145.10812s19
Subject(s) - computer science , decision tree , data set , statistical classification , data mining , python (programming language) , decision tree learning , set (abstract data type) , social media , machine learning , one class classification , artificial intelligence , artificial neural network , data classification , classifier (uml) , world wide web , programming language , operating system
Data Mining is one of the most successful domains in research. It describes the past and speculates the future for analysis. There are several techniques used in data mining. Among them classification is one of the main data mining techniques based on machine learning. In classification technique data set is classified into predefined set of groups or classes. Mathematical techniques such as decision tree, linear regression, neural networks and statistics are used for classification methods. Classification is a problem to identify which set of categories the new observation belongs to using training data set. This paper analyses the data taken from social media and uses the classification algorithm for making a comparative study on social advertisement using python.