Predicting the Future with Social Trends from Social Media: a Review

In today’s world, each individuals are now addicted to the online social media. Social media sites have been used by millions of people, individuals globally. Every individual expresses his thoughts, daily life events and opinions on social media. In social media, individuals expressions are mostly in the form of non photographic images, text form, growing importance of linguistic text analysis etc. This paper provide an overview of the growing literature on subjective well being which is also known as Happiness. We use different types of approaches, one approach is that to measure wellbeing is to use of objective indicator which is also known as Gross Domestic Product(GDP).In this approach we classify the content of images and correlated with socioeconomic indicator. The another approach is to using subjective measure by asking people to report on their happiness and life satisfaction. This paper represent the happiness indicator and create some limitation as measure of wellbeing like social media is not limited to text. Unlike text, the analysis of images does not require specific linguistic database.