Jonathan H. Silvia L., Data Mining, Mentor: David Shan
We plan to gather many different tweets that are about the candidates for this years upcoming presidential election. We will identify postive and negative tweets concerning both candidates and compare them to each other to find out which of them is the most popular.
Stage 1: Get the data from twitter with keywords pertaining to the 2016 presidential candidates.
Stage 2: Identify if those tweets are postive or negative. As we identify positive and negative tweets, we can create list of postive and negative keywords.
Stage 3: Compare the candidates data and find out which one is the most popular.
Stage 4: Get the age and gender of users and plot them in some sort of graph so that we can see how any men or women prefer a certain candidate and how old they are.