Skip to main content

Exploratory Analysis of Human Mood Swings

  • Conference paper
  • First Online:
ICCCE 2021

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 828))

  • 907 Accesses

Abstract

Humans differ from each other. Every human is unique, and everyone has a different mindset. Human behavior also varies from person to person. They are solemnly dependent on many factors. Human mood swings are basically influenced by internal factors such as hormones, mental health, and depression; external factors such as other people's behavior, health styles, the environment they work in, responses, and critics by the people who influence them the most. Behavioral analysis can be performed using python language for understanding the emotional intelligence of a person. The insights can be very useful in understanding the subject’s mood and it gives an outline of their emotions. Data manipulation and data preprocessing is done using pandas. Hence, it gives a crystal clear view of the insights that we wish to see. These data which contribute to emotional intelligence of a person is very much helpful for the person to stabilize their mood.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 219.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 279.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 379.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Llamocca P et al, Data source analysis in mood disorder research. University of Belgrade

    Google Scholar 

  2. Javelot H et al (2014) Telemonitoring with respect to mood disorders and information and communication technologies: overview and presentation of the PSYCHE project. BioMed Res Int 2014:12, Article ID 104658

    Google Scholar 

  3. Taylor MA, Fink M (2006) Melancholia: the diagnosis, pathophysiology and treatment of depressive illness. Cambridge University Press, Cambridge

    Google Scholar 

  4. DeMasi O, Recht B (2017) A step towards quantifying when an algorithm can and cannot predict an individual’s wellbeing. In: Proceedings of the 2017 ACM international joint conference on pervasive and ubiquitous computing and proceedings of the 2017 ACM international symposium on wearable computers, pp 763–771. https://doi.org/10.1145/3123024.3125609

  5. Thieme A, Belgrave D, Doherty G (2020) Machine learning in mental health: a systematic review of the HCI literature to support the development of effective and implementable ML systems. ACM Trans Comput-Hum 27(5), Article 34. https://doi.org/10.1145/3398069

Download references

Acknowledgements

All the research works and analysis are done with the knowledge of the subject and their analysis is presented individually to each one of them.

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Mahadevan, R., Arputha Rathina, X. (2022). Exploratory Analysis of Human Mood Swings. In: Kumar, A., Mozar, S. (eds) ICCCE 2021. Lecture Notes in Electrical Engineering, vol 828. Springer, Singapore. https://doi.org/10.1007/978-981-16-7985-8_5

Download citation

  • DOI: https://doi.org/10.1007/978-981-16-7985-8_5

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-7984-1

  • Online ISBN: 978-981-16-7985-8

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics