Social media is a platform for users sharing content and has become part of our life. Social media has many uses such as entertainment, sharing information, run a business or conduct research. This makes social media a place of big data. Nowadays, a lot of companies are struggling with gaining insight from social media data due to data issues such as information overload and difficulties of understanding the dynamic trend on social media. They are seeking for solutions in the future.

WHATSON is a time series analysis tools of Twitter. The difficulties of users to gain insight from Twitter leads to this project idea. The objective of this project is to develop a website that provide time series analysis of Twitter consists features of sector identification, sentiment analysis and topic analysis. The uniqueness of this project is topic prediction. At the end of this project, a website with time series analysis and a database of Twitter data will be developed. The website will be developed in HTML, CSS, JavaScript, PHP and Python, and uses MySQL as a database.

The sector identification feature will give users insight of tweets based on the sectors provided such as news, sports, politics, entertainment, science and technology, business and economics, and healthcare. Next, the sentiment analysis feature will provide an understanding of users' perception on Twitter whether it is positive, negative or neutral. The last feature, topic analysis, will give an overview of topics talked amongst Twittersphere. This is where the project uniqueness is located.