bbelderbos / nlp-bite-feedback

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NLP on Bite exercise data

This script loads all Bite reviews and uses [textblob](https://textblob.readthedocs.io/en/dev/) to see which Bites have the most negative vs. raving reviews.

It's a great example of using a library that abstracts all (NLP) complexity away and got me results fast!

Setup

Run make setup to make a virtual environment and install the dependencies.

Example

Output of running python script.py:

$ python script.py
bite id | # comments | avg sentiment score
    442 |          1 | -0.5833333333333333
    142 |          3 | -0.38675925925925925
    286 |          3 | -0.2138227513227513
    145 |          4 | -0.16699305555555555
    276 |          3 | -0.16435185185185186
    260 |          6 | -0.1388888888888889

[output trucanted]

    412 |          2 | 0.7375
    140 |          2 | 0.75
    229 |          3 | 0.7533333333333333

To read reviews for one Bite:

  • Positive:
$ python script.py 229
  0.6 | Nice one.
 0.75 | Nice Bite! Learned (once again) to always, always, always proof-read my code.
 0.91 | I've always struggled with loops, so this was very good practice.
  • Negative:
$ python script.py 276
-0.25 | It was only difficult because I forgot why we were defining.
-0.15 | I'm not sure if I'm missing something on this one.  the multiply_numbers function didn't require a and b to be passed in to it when it was defined.  It can still multiply a and b.
-0.09 | If you are already going to have a function defined in the starting code it would be less confusing if you already had the multiply_numbers(a, b): filled in. As there is no way to get output from the built in editor, it is hard to troubleshoot that the variables in the function are missing.

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Language:Python 93.3%Language:Makefile 6.7%