A Machine Learning Approach to Correlate Emotional Intelligence and Happiness Based on Twitter Data

In this study, we have examined the relation between emotional intelligence and happiness. We have identified the traits of high emotionally intelligent people and low emotionally intelligent people and the corresponding words used on twitter to portray those traits. We have scraped twitter and extracted 1000 tweets for each word at three instances of time namely March 2018, 2013 and 2010. Two classifiers namely Support Vector Machine and Naïve Bayes were trained with large data sets to perform sentiment analysis. Each of them classifies a sentence either as positive(happy) or negative(sad). The different sets of scraped tweets corresponding to each word have been used as test data to the above models. Thus, a correlation between emotional intelligence and happiness over time was established. The underlying assumption of the above study is that the individual is expressing his/her true emotion on twitter.

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Author and article information

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Sistla Sai Shravani

Niraj Kumar Jha

Rajlaksmi Guha

Conference

Publication date: July 2018

Publication date (Print): July 2018

Pages: 1-5

Affiliations

[0001]Third-year Undergraduate student

Department of E&ECE, IIT Kharagpur

[0002]Assistant Professor, Centre For Educational Technology, IIT Kharagpur

Article

DOI: 10.14236/ewic/HCI2018.124

SO-VID: 498daf8e-7492-4f71-93e6-7e5daa53ca3f

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This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

Conference name: Proceedings of the 32nd International BCS Human Computer Interaction Conference

Conference acronym: HCI

Conference number: 32

Conference location: Belfast, UK

Conference date: 4 - 6 July 2018

Conference sponsor: Electronic Workshops in Computing (eWiC)

Conference theme: Human Computer Interaction Conference

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1477-9358 BCS Learning & Development

Self URI (article page): https://www.scienceopen.com/hosted-document?doi=10.14236/ewic/HCI2018.124

Self URI (journal page): https://ewic.bcs.org/

REFERENCES

M ArgyleM MartinJ. Crossland 1989 Happiness as a function of personality and social encounters In J. P. ForgasM. Innes (Eds.) Recent advances in social psychology: an international perspective North Holland
L. F. Barrett 2006b Solving the emotion paradox : categorization and the experience of emotion Pers. Soc. Psychol. Rev 10 20 46
Kendra Cherry 2017 Signs of Low Emotional Intelligence www.verywellmind.com/signs-of-low-emotional-intelligence-2795958
Andrew Coleman 2008 A Dictionary of Psychology(3 ed.)Oxford University Press England
K. M. DeNeveH. Cooper 1998 The happy personality: a meta-analysis of 137 personality traits and subjective well-being Psychological Bulletin 124 197 229
Joshi AdityaMishra AbhijitBalamurali ARBhattachacharyya PushpakCarman Mark J.(2015 A Computational Approach to Automatic Prediction of drunk-texting In proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics (short papers) Beijing, China
Kohavi RonFoster Provost 1998 Glossary of Terms. Machine Learning 30 271 274
Raffi Krikorian (VP, Platform Engineering, Twitter Inc.) “New Tweets per second record, and how!” Twitter Official Blog August 16 2013
John D. Mayer 2008 Human Abilities: Emotional intelligence Annual Review of Psychology 59 507 536
T. MikolovE. GraveP. BojanowskiC. PuhrschA. Joulin 2017 Advances in Pre-Training Distributed Word Representations
A. OrtigosaJ.M. MartínR.M. Carro 2014 Sentiment analysis in Facebook and its application to e-learning Comput. Hum. Behav 31 527 541
Rhett Power 2017 Qualities of People with High EmotionalIntelligence www.success.com/article/7-qualities-of-people-with-high-emotional-intelligence
Turian JosephLev RatinovYoshua Bengio 2010 Word representations: a simple and general method for semi-supervised learning In 48th Proceedings of ACL 384 394
Kevin Weil (VP of Product for Revenue and former big data engineer, Twitter Inc.) “Measuring Tweets” Twitter Official Blog February 22 2010

Comments

Comment on this article

[1] M ArgyleM MartinJ. Crossland 1989 Happiness as a function of personality and social encounters In J. P. ForgasM. Innes (Eds.) Recent advances in social psychology: an international perspective North Holland

[2] L. F. Barrett 2006b Solving the emotion paradox : categorization and the experience of emotion Pers. Soc. Psychol. Rev 10 20 46

[3] Kendra Cherry 2017 Signs of Low Emotional Intelligence www.verywellmind.com/signs-of-low-emotional-intelligence-2795958

[4] Andrew Coleman 2008 A Dictionary of Psychology(3 ed.)Oxford University Press England

[5] K. M. DeNeveH. Cooper 1998 The happy personality: a meta-analysis of 137 personality traits and subjective well-being Psychological Bulletin 124 197 229

[6] Joshi AdityaMishra AbhijitBalamurali ARBhattachacharyya PushpakCarman Mark J.(2015 A Computational Approach to Automatic Prediction of drunk-texting In proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics (short papers) Beijing, China

[7] Kohavi RonFoster Provost 1998 Glossary of Terms. Machine Learning 30 271 274

[8] Raffi Krikorian (VP, Platform Engineering, Twitter Inc.) “New Tweets per second record, and how!” Twitter Official Blog August 16 2013

[9] John D. Mayer 2008 Human Abilities: Emotional intelligence Annual Review of Psychology 59 507 536

[10] T. MikolovE. GraveP. BojanowskiC. PuhrschA. Joulin 2017 Advances in Pre-Training Distributed Word Representations

[11] A. OrtigosaJ.M. MartínR.M. Carro 2014 Sentiment analysis in Facebook and its application to e-learning Comput. Hum. Behav 31 527 541

[12] Rhett Power 2017 Qualities of People with High EmotionalIntelligence www.success.com/article/7-qualities-of-people-with-high-emotional-intelligence

[13] Turian JosephLev RatinovYoshua Bengio 2010 Word representations: a simple and general method for semi-supervised learning In 48th Proceedings of ACL 384 394

[14] Kevin Weil (VP of Product for Revenue and former big data engineer, Twitter Inc.) “Measuring Tweets” Twitter Official Blog February 22 2010

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