I have archived 3,603 public Tweets from_user_id_str 25073877 published between 27/02/2016 00:06 and 27/02/2017 12:06 (GMT -5, Washington DC Time). This is almost exactly a year’s worth of Tweets from the account in question.
Eight source types were detected in the dataset. Most of the Tweets were published either from iPhone (46%) or an Android (45%).
The Tweet counts per source are as follows:
2 | |
MediaStudio | 1 |
Periscope | 1 |
Twitter Ads | 1 |
Twitter for Android | 1629 |
Twitter for iPad | 22 |
Twitter for iPhone | 1660 |
Twitter Web Client | 287 |
Total | 3603 |
The table above visualised as a bar chart, just because:
As a follow/up to a previous post, I share in the table below the top 50 most frequent word forms per source (iPhone and Android) in this set of 3,603 Tweets from_user_id_str 25073877, courtesy of a quick text analysis (applying a customised English stop word list globally) made with Voyant Tools:
Android | iPhone | |||||
Term | Count | Trend | Term | Count | Trend | |
great | 276 | 0.008124816 | thank | 417 | 0.015241785 | |
hillary | 252 | 0.00741831 | trump2016 | 215 | 0.007858475 | |
trump | 184 | 0.005416544 | great | 190 | 0.006944698 | |
crooked | 162 | 0.004768914 | makeamericagreatagain | 165 | 0.006030922 | |
people | 160 | 0.004710038 | join | 160 | 0.005848167 | |
just | 151 | 0.004445099 | rt | 144 | 0.00526335 | |
clinton | 120 | 0.003532529 | hillary | 119 | 0.004349574 | |
big | 107 | 0.003149838 | clinton | 118 | 0.004313023 | |
media | 106 | 0.0031204 | america | 111 | 0.004057166 | |
thank | 94 | 0.002767148 | trump | 104 | 0.003801309 | |
bad | 89 | 0.002619959 | make | 89 | 0.003253043 | |
president | 88 | 0.002590521 | new | 88 | 0.003216492 | |
make | 86 | 0.002531646 | tomorrow | 82 | 0.002997186 | |
america | 85 | 0.002502208 | people | 75 | 0.002741328 | |
cnn | 85 | 0.002502208 | maga | 73 | 0.002668226 | |
country | 72 | 0.002119517 | today | 73 | 0.002668226 | |
like | 72 | 0.002119517 | americafirst | 69 | 0.002522022 | |
u.s | 72 | 0.002119517 | draintheswamp | 68 | 0.002485471 | |
time | 71 | 0.00209008 | tonight | 67 | 0.00244892 | |
said | 67 | 0.001972329 | ohio | 66 | 0.002412369 | |
jobs | 66 | 0.001942891 | vote | 63 | 0.002302716 | |
vote | 63 | 0.001854578 | just | 61 | 0.002229614 | |
win | 63 | 0.001854578 | florida | 59 | 0.002156512 | |
new | 62 | 0.00182514 | crooked | 52 | 0.001900654 | |
going | 59 | 0.001736827 | going | 49 | 0.001791001 | |
news | 58 | 0.001707389 | imwithyou | 49 | 0.001791001 | |
bernie | 56 | 0.001648513 | president | 49 | 0.001791001 | |
foxnews | 55 | 0.001619076 | votetrump | 49 | 0.001791001 | |
good | 54 | 0.001589638 | tickets | 46 | 0.001681348 | |
wow | 53 | 0.0015602 | american | 43 | 0.001571695 | |
job | 50 | 0.001471887 | time | 43 | 0.001571695 | |
nytimes | 50 | 0.001471887 | pennsylvania | 42 | 0.001535144 | |
republican | 50 | 0.001471887 | poll | 41 | 0.001498593 | |
0 | 49 | 0.001442449 | soon | 41 | 0.001498593 | |
today | 49 | 0.001442449 | support | 41 | 0.001498593 | |
totally | 49 | 0.001442449 | enjoy | 38 | 0.00138894 | |
enjoy | 48 | 0.001413012 | campaign | 37 | 0.001352389 | |
cruz | 46 | 0.001354136 | rally | 37 | 0.001352389 | |
election | 46 | 0.001354136 | carolina | 35 | 0.001279287 | |
look | 46 | 0.001354136 | north | 35 | 0.001279287 | |
want | 46 | 0.001354136 | live | 34 | 0.001242735 | |
obama | 44 | 0.001295261 | speech | 33 | 0.001206184 | |
dishonest | 41 | 0.001206947 | california | 18 | 0.000657919 | |
can’t | 39 | 0.001148072 | hillaryclinton | 18 | 0.000657919 | |
night | 39 | 0.001148072 | honor | 18 | 0.000657919 | |
really | 39 | 0.001148072 | job | 18 | 0.000657919 | |
show | 39 | 0.001148072 | nevada | 18 | 0.000657919 | |
way | 39 | 0.001148072 | right | 18 | 0.000657919 | |
ted | 38 | 0.001118634 | supertuesday | 18 | 0.000657919 |
I thought you’d like to know.
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