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1700542 Vol 1 · Issue 9 Download Paper

Identifying Personality Traits Using Social Media

Makkena Pramod Mikkili Raj Kumar Pamula Anil Kumar Nizampatnam Naga Sarath K. Vikas

Subject area: Science,Engineering and Technology  ·  Area of research: Computer Engineering

Abstract

The Social media is no more another idea today. With the expansion in the infiltration of web and minimal effort cell phones access to online networking has more turned into a pattern and need too many. Having more number of preferences and plenty of remarks and further sharing the posts has turned into a societal position and notoriety issue to the adolescent of today. The special part of these highlights is that likes, comments, and shares are moment reactions of users and it is freely accessible and can be gotten to by every one of the companions of a man. Thus, Facebook is a popular social media platform with millions of users.The suggested framework takes the likes, comments and shares as input and processes the same to map it to a personality trait. The paper derives the framework by considering big five personality traits.

Keywords

Data Mining; Personality Traits; Social media; Text analytics.

References

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[2] Golbeck, J., Robles, C., & Turner, K. (2011, May). Predicting personality with social media. In CHI'11 Extended Abstracts on Human Factors in Computing Systems (pp. 253-262). ACM

[3] H.V. Zhao, W.S. Lin and K.J.R Liu, “Behavior modeling and forensics for multimedia social networks” Proc. Signal Processing Magazine, IEEE (Volume:26 , Issue: 1 ), pp. 118-139, 2009.

[4] Sumner, A. Byers, R. Boochever, & G.J. Park, “Predicting dark triad personality traits from Twitter usage and a linguistic analysis of tweets”, in 11th international conference on machine learning and applications, pp. 386–393, 2012

[5] Asur, Sitaram, and Bernardo A. Huberman. "Predicting the future with social media." Web Intelligence and Intelligent Agent Technology (WI -IAT), 2010 IEEE/WIC/ACM International Conference on Vol 1 IEEE, 2001

[6] Cambria, Erik, et al. "New avenues in opinion mining and sentiment analysis. “IEEE Intelligent Systems 28.2(2013): 15-21

[7] Golbeck, Jennifer, Cristina Robles, and Karen Turner. "Predicting personality with social media." CHI'11 extended abstracts on human factors in computing systems. ACM, 2011.

[8] . Barrick, Murray R., and Michael K. Mount. "The Big Five personality dimensions and job performance: A meta-analysis." (1991).

[9] Judge, Timothy A., et al. "The big five personality traits, general mental ability, and career success across the life span." Personnel psychology 52.3 (1999): 621-652.

How to cite this paper

Makkena Pramod, Mikkili Raj Kumar, Pamula Anil Kumar, Nizampatnam Naga Sarath, K. Vikas "Identifying Personality Traits Using Social Media" Iconic Research And Engineering Journals Volume 1 Issue 9 2018 Page 186-192
Makkena Pramod, Mikkili Raj Kumar, Pamula Anil Kumar, Nizampatnam Naga Sarath, K. Vikas "Identifying Personality Traits Using Social Media" Iconic Research And Engineering Journals, vol. 1, no. 9, Mar. 2018
Makkena Pramod, Mikkili Raj Kumar, Pamula Anil Kumar, Nizampatnam Naga Sarath, K. Vikas (2018). Identifying Personality Traits Using Social Media. Iconic Research And Engineering Journals, 1(9).
Makkena Pramod, Mikkili Raj Kumar, Pamula Anil Kumar, Nizampatnam Naga Sarath, K. Vikas "Identifying Personality Traits Using Social Media" Iconic Research And Engineering Journals, vol. 1, no. 9, Mar. 2018.
@article{1700542,
      author = {Makkena Pramod, Mikkili Raj Kumar, Pamula Anil Kumar, Nizampatnam Naga Sarath, K. Vikas},
      title = {Identifying Personality Traits Using Social Media},
      journal = {Iconic Research And Engineering Journals},
      year = {2018},
      volume = {1},
      number = {9},
      pages = {186-192},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1700542.pdf},
      abstract = {The Social media is no more another idea today. With the expansion in the infiltration of web and minimal effort cell phones access to online networking has more turned into a pattern and need too many. Having more number of preferences and plenty of remarks and further sharing the posts has turned into a societal position and notoriety issue to the adolescent of today. The special part of these highlights is that likes, comments, and shares are moment reactions of users and it is freely accessible and can be gotten to by every one of the companions of a man. Thus, Facebook is a popular social media platform with millions of users.The suggested framework takes the likes, comments and shares as input and processes the same to map it to a personality trait. The paper derives the framework by considering big five personality traits.},
      keywords = {Data Mining; Personality Traits; Social media; Text analytics.},
      month = {March},
  }