An outcome-based method for computing happiness index from mental health related tweets of Twitter users
Twitter users publish tweets on various topics, emotions, and events. The technological advancement and ease of tweeting increased people's interaction with social network sites. We chose 2.3 million depressive, anti-depressive tweets collected for one year as base data for our study. Researche...
Saved in:
Published in: | 2021 IEEE International Conference on Intelligent Systems, Smart and Green Technologies (ICISSGT) pp. 99 - 102 |
---|---|
Main Authors: | , |
Format: | Conference Proceeding |
Language: | English |
Published: |
IEEE
01-11-2021
|
Subjects: | |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Summary: | Twitter users publish tweets on various topics, emotions, and events. The technological advancement and ease of tweeting increased people's interaction with social network sites. We chose 2.3 million depressive, anti-depressive tweets collected for one year as base data for our study. Researchers studied the Happiness Index as a survey output using the online or offline mode to manage the input parameters. As happiness is an outcome of emotions presented in one's situation, we use the tweets of Twitter users as an input to measure the Happiness Index. We observed similar results using two different weekly tweets and World Happiness Report-2020 (WHR-2020) data. Forecasting the Happiness Index will be helpful for planning and executing peoples' schemes. |
---|---|
DOI: | 10.1109/ICISSGT52025.2021.00031 |