text_with_trump's Introduction

text_with_trump

Playground for textual data exploration

What's in this repository

A number of transcripts from presidential speeches, as well as Hillary Clinton and Donald Trump's 2016 campaign speeches (source)
CSV files for each politician containing the word count and frequency for every word used
A script that calculates the difference in word usage frequency for any two politicians with output that looks like this:

$ python code/get_frequency_diff.py trump hclinton


Top 20 words that trump used more frequently than hclinton:

hillary     wordcount: 1459    frequency factor: 94.7915044251
illegal     wordcount: 240    frequency factor: 62.3713805675
politicians     wordcount: 216    frequency factor: 56.1342425108
clinton     wordcount: 1142    frequency factor: 49.4639698667
trillion     wordcount: 136    frequency factor: 35.3437823216
border     wordcount: 250    frequency factor: 32.4850940455
badly     wordcount: 116    frequency factor: 30.1461672743
radical     wordcount: 114    frequency factor: 29.6264057695
unbelievable     wordcount: 193    frequency factor: 25.0784926031
mosul     wordcount: 95    frequency factor: 24.6886714746
incredible     wordcount: 259    frequency factor: 22.4363716209
guys     wordcount: 86    frequency factor: 22.3497447033
hispanic     wordcount: 85    frequency factor: 22.0898639509
tremendous     wordcount: 248    frequency factor: 21.4834755288
destroyed     wordcount: 80    frequency factor: 20.7904601892
islamic     wordcount: 79    frequency factor: 20.5305794367
cases     wordcount: 78    frequency factor: 20.2706986845
judgment     wordcount: 71    frequency factor: 18.4515334179
total     wordcount: 142    frequency factor: 18.4515334178
justices     wordcount: 66    frequency factor: 17.1521296561