Implement spell check and correction

[Maronato]

Before saving spotted, check its spelling and change its words

Save changed words as a dictionary with "new_word" : "previous" so that they can be put back if needed

Use this model http://norvig.com/spell-correct.html
To create the predictor. Use the whole dataset to create the bag of words

Create tokenizer to fix slangs, things like "vc" and repeated letters in words. Also try to remove urls and such

Experiment with priority queues and binary trees to make it faster.
Experiment saving common mistakes to fasten it up