--Originally published at TC3045 – Alfonso Irai
It’s that time of our lives again. It’s that time where wherever we sight, we see some candidate ad or poster, and you know what? It really sucks! I think it’s a huuuge waste of money and you’re not gonna let me lie; it’s a visual pollution.
But let’s not talk about that. We’re here to talk about our project.
Our extraordinary team made up by Alejandro Vazquez, Cesar Gonzalez, Michelle Sagnelli and I, will build microservices that will let us know which is the most popular Mexico’s presidential candidate using Twitter’s social network.
We will be using data mining using Twitter’s API and Python Streaming Jobs to save tweets temporally in JSON’s.
The challenge here is that we will need to “clean up” and organize the data by separating by tokens of importance and deleting stop words, to be able to extract the data in a more objective way. Also (and really exciting), we will be using Machine learning to analyze the candidates and see the level of importance of them, taking positive and negative tweets not just for them, but for their political party.
I know, I know. There will be a lot of bots trying to make our lives impossible. And because of that, deleting bots will be an optional feature that we will develop if everything else goes on the right way.
I’m really excited to see this project done, and if you are interested in knowing how we are doing, please stand by for my future posts.
Love you, guys! 
