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

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      Proceedings of the 32nd International BCS Human Computer Interaction Conference (HCI)
      Human Computer Interaction Conference
      4 - 6 July 2018
      Emotional Intelligence, Happiness, Twitter Scraping, Classifiers, Sentiment Analysis
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            Abstract

            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.

            Content

            Author and article information

            Contributors
            Conference
            July 2018
            July 2018
            : 1-5
            Affiliations
            [0001]Third-year Undergraduate student

            Department of E&ECE, IIT Kharagpur
            [0002]Assistant Professor, Centre For Educational Technology, IIT Kharagpur
            Article
            10.14236/ewic/HCI2018.124
            498daf8e-7492-4f71-93e6-7e5daa53ca3f
            © Shravani et al. Published by BCS Learning and Development Ltd. Proceedings of British HCI 2018. Belfast, UK.

            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/

            Proceedings of the 32nd International BCS Human Computer Interaction Conference
            HCI
            32
            Belfast, UK
            4 - 6 July 2018
            Electronic Workshops in Computing (eWiC)
            Human Computer Interaction Conference
            History
            Product

            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/
            Categories
            Electronic Workshops in Computing

            Applied computer science,Computer science,Security & Cryptology,Graphics & Multimedia design,General computer science,Human-computer-interaction
            Emotional Intelligence,Classifiers,Happiness,Sentiment Analysis,Twitter Scraping

            REFERENCES

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

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