EFunkhouser MP3 code and report#56
Conversation
Sentiment analysis on 1850s novels, yay! EFunkhouser 2/27/2016
…ed (8 Gutenberg books) to do the project. EFunkhouser 2/27/16
…files for analysis by removing the junk Gutenberg puts at the beginning and end. EFunkhouser 2/27/16
…un sentiment analysis on successive chunks of it, filter the data, and output the data structures needed to plot the storyline for that book. EFunkhouser 2/27/16
…sults section: it calls analysis for each of the 8 books and then plots them all together in a Plotly ipython notebook. EFunkhouser 2/27/16
|
Review status: 0 of 5 files reviewed at latest revision, 10 unresolved discussions. a discussion (no related file): All in all, nicely done! The rolling average thing was pretty cool, and reading your writeup was really fun. get_booktext.py, line 14 [r1] (raw file): Will also work get_booktext.py, line 23 [r1] (raw file): one_book_sentiment.py, line 76 [r1] (raw file): plot_all_books.py, line 5 [r1] (raw file): plot_all_books.py, line 48 [r1] (raw file): trim_booktext.py, line 1 [r1] (raw file): trim_booktext.py, line 19 [r1] (raw file): trim_booktext.py, line 48 [r1] (raw file): trim_booktext.py, line 52 [r1] (raw file): Comments from the review on Reviewable.io |
|
Reviewed 5 of 5 files at r1. Comments from the review on Reviewable.io |
Not entirely certain the report will go through right as I pushed it from outside my virtual machine, but...fingers crossed?