Turning in Text Mining!

[linnealaux]

The sad part is that it was nearly done by class on Thursday, but there was no physical chance for me to do work Friday or Saturday and I am also in other classes.

[YuzhongHuang]

Reviewed 2 of 2 files at r1.
Review status: all files reviewed at latest revision, 5 unresolved discussions.

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a discussion (no related file):
Interesting project. But the scope is a little bit limited. There are some changes could be made to make the code more concise and clean. I've suggested some changes in the comments. Please take a look!

Although the code is relatively self-explanatory, adding some comments would make the project much more readable.

Looking forward to your future work!

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therapyanal.py, line 1 [r1] (raw file):
A brief heading describing what does the code do overall would be helpful for others to understand

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therapyanal.py, line 173 [r1] (raw file):
Put the replacements into a function would be good. Also, instead of doing this by yourself, you can use 'nltk' package to get nltk.stop_word list, which is much more comprehensive. Being lazy is important.

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therapyanal.py, line 174 [r1] (raw file):
Adding some docstring to explain what the function is doing here

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therapyanal.py, line 196 [r1] (raw file):
Add some comments for the indexing.

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Comments from the review on Reviewable.io

[LucyWilcox]

This is fine, but you probably could have done a bit more cleaning up, or something else in addition.