Analyzing Happiness Index Based on Geographical Locations

Social media has grown in popularity for past few decades and millions of people have expressed information about themselves and their feelings on sites like Twitter. Geography is a predictor of moods that is expressed on Twitter. Using geotagged tweets can help correlate happiness with region on lifestyle measures such as gun violence and natural disasters. In this study, we provide Bag Data Analytics methods to perform a sentiment analysis based on geographical location to analyze where are people happy about particular trending topics on Twitter.