Facebook Data for Predictive Personality Analysis

Authors

  • Karthika R  Department of Computer Application, Anna University, BIT Campus, Tiruchirappalli, TamilNadu, India
  • R. Kathiyayini  Department of Computer Application, Anna University, BIT Campus, Tiruchirappalli, TamilNadu, India

Keywords:

Facebook, R studio, RCurl, RFacebook, Fboauth

Abstract

Facebook data analysis for human interactions details with predictive analysis social network for individual person behavior, character for facebook data. Predictive analysis for reason to face book target number likes, facebook friendship details analysis requirements. Individual person character analysis for facebook data to current how to number of likes in the facebook account member. The performance of several classifications of techniques is predictive analysis the facebook data. Motivated by the fact that detection of significant features is an essential part of a personality recognition system, we present the paper and in depth analysis. Facebook data for only packages using the predictive analysis in the data.

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2017-04-30

Issue

Volume 2, Issue 2, March-April-2017

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Karthika R, R. Kathiyayini, " Facebook Data for Predictive Personality Analysis, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 2, pp.1147-1150, March-April-2017.