Social Media Data using Various Classification Algorithms in Datamaning
Deepa B1, Jeen Marseline K.S2

1Deepa B, Assistant Professor, Sri Krishna Arts and Science College Coimbatore (Tamil Nadu), India.

2Dr. Jeen Marseline K.S, Assistant Professor, Sri Krishna Arts and Science College Coimbatore (Tamil Nadu), India.

Manuscript received on 08 October 2019 | Revised Manuscript received on 22 October 2019 | Manuscript Published on 26 December 2019 | PP: 588-589 | Volume-8 Issue-12S October 2019 | Retrieval Number: L114510812S19/2019©BEIESP | DOI: 10.35940/ijitee.L1145.10812S19

Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (

Abstract: 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.

Keywords: Data Mining, Classification Algorithm, Linear Regression, Decision Tree, Python.
Scope of the Article: Social Networks