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Predictor for the Law
Currently in our features output, we see words like this:
'encourage': 1.0, 'decedent\xe2\x80\x99s': 2.0, 'to': 6.5,
We should find out why and fix it.
Currently we are counting weight for each individual word, maybe add word grams as well.
Auto-separate training set and testing set. Give user some freedom for how to do the separation.
Remove words such as 'a', 'and', 'is', etc.
For instance:
words should be mapped based on the following:
words -> word
wording -> word
wordy -> word
bigger -> big
This will require a NLP package. I've looked at a couple but we should discuss this...
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