bellingcat/tiktok-hashtag-analysis
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johannawild
2022-05-04 00:44:04 +02:00
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@@ -97,7 +97,30 @@ Assume we want to plot the graph of top 20 occurring hashtags in the downloaded
The figure above shows the top 20 occurring hashtags among all the posts downloaded for the hashtag london. Clearly, the highest occurrence will be of the hashtag london as the file <code>data/london/posts/data.json</code> contain all the posts with hashtag london.
2. Printing the result in the shell: <code> python3 hashtag_frequencies.py -d ../data/london/posts/data.json 20 -v</code>
<img width="807" alt="Screenshot 2022-02-25 at 19 54 09" src="https://user-images.githubusercontent.com/72805812/155771757-e71b2858-cd9c-4496-8cc5-76146e8a8d32.png">
```
Rank Hashtag Occurrences Frequency (Occurrences/Total-Posts(total_posts))
0 london 962 1.0
1 fyp 493 0.5124740124740125
2 uk 238 0.24740124740124741
3 foryou 223 0.23180873180873182
4 foryoupage 186 0.19334719334719336
5 viral 177 0.183991683991684
6 fypシ 85 0.08835758835758836
7 funny 55 0.057172557172557176
8 xyzbca 52 0.05405405405405406
9 england 45 0.04677754677754678
10 british 44 0.04573804573804574
11 trending 39 0.04054054054054054
12 fy 33 0.034303534303534305
13 comedy 32 0.033264033264033266
14 roadman 28 0.029106029106029108
15 4u 27 0.028066528066528068
16 usa 26 0.02702702702702703
17 tiktok 26 0.02702702702702703
18 travel 21 0.02182952182952183
19 america 20 0.02079002079002079
```
The same result of 1 is printed in the shell. The last column shows the ratio of the occurrence to the total posts.