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. 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.