--Originally published at TC3045 – Sagnelli's blog

This week we were able to read emojis in tweets, and separate user name from the tweet itself. By doing this, we avoid analyzing user names, and actually analyze the tweet itself. By reading emojis we can have a more accurate idea on what the person’s intention is. We can implement analysis in the text comparison to the emoji meaning. Henceforth, this week we could say that the preparations for the mining phase is over. We are now able to mine data of certain important people, of certain words, and to gather the complete data of these tweets.

For the upcoming partial, we are going to start mining data, and doing preparations for the analysis of this data. Moreover, we are going to eliminate stop words, and focus on what the tweet is actually trying to communicate. Henceforth, we are going to show a map of which words are most used, and who is actually winning this electoral campaign.