mirror of
https://github.com/bellingcat/tiktok-hashtag-analysis.git
synced 2026-06-11 04:48:30 +03:00
91 lines
3.0 KiB
Python
91 lines
3.0 KiB
Python
import os, sys
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import csv, json
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import argparse
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import matplotlib.pyplot as plt
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def get_hashtags(obj):
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if not obj:
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print(f'ERROR: Empty item, no hashtags to be extracted.')
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return
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else:
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hashtags = {}
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l = len(obj)
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for i in range(l):
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for hashtag in obj[i]['hashtags']:
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if hashtag['name'] in hashtags:
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hashtags[hashtag['name']].add(i)
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else:
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hashtags[hashtag['name']] = {i}
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return hashtags
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def get_occurrences(filename, n=1 , sort=True):
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with open(filename) as f:
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obj = json.load(f)
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l = len(obj)
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tags = get_hashtags(obj)
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tags = {key: (len(value), value) for (key, value) in tags.items()}
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if not sort:
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k = list(tags.keys())
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v = list(tags.values())
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return obj, k, v
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else:
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sorted_tags = {k: v for k,v in sorted(tags.items(), key=lambda item: item[1], reverse=True)}
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k = list(sorted_tags.keys())
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v = list(sorted_tags.values())
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k = k[:n]
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v_total = [i[0] for i in v]
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v_total = v_total[:n]
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return l, k, v_total
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def plot(n, length, k, v):
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plt.scatter(k, v)
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plt.tight_layout()
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plt.title(f'Hashtag Distribution')
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plt.xlabel(f'Top {n} hashtags from {length} posts.')
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plt.ylabel(f'Number of occurrences')
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plt.show()
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return
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def print_occurrences(l, k, v):
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row_number = 0
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total_posts = l
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print ("{:<8} {:<15} {:<15} {:<15}".format("Rank", 'Hashtag','Occurrences',f'Frequency (Occurrences/Total-Posts({l}))'))
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#print(f'Hashtag Occurrences Frequency(Occurances/Total-Posts)')
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for key,value in zip(k, v):
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ratio = value/total_posts
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print ("{:<8} {:<15} {:<15} {:<15}".format(row_number, key, value, ratio))
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#print(f'{row_number}\t{key}\t\t{value}\t\t{ratio:.3f}')
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row_number += 1
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return
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if __name__ == "__main__":
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parser = argparse.ArgumentParser()
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parser.add_argument("input_file", help="The json hashtag file name")
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parser.add_argument("n", help="The number of top n occurrences", type=int)
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parser.add_argument("-p", "--plot", help="Plot the occurrences", action="store_true")
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parser.add_argument("-d", "--print", help="List top n hashtags", action="store_true")
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args = parser.parse_args()
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if args.input_file and args.n:
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if args.n < 1:
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print(f"Please make sure the number of top occurrences is a positive integer.")
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sys.exit()
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base = os.path.splitext(args.input_file)[0]
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path = f"./{base}_sorted_hashtags.csv"
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if args.plot:
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length, keys, values = get_occurrences(args.input_file, args.n)
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plot(args.n, length, keys, values)
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else:
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length, keys, values = get_occurrences(args.input_file, args.n)
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print_occurrences(length, keys, values)
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else:
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print(f'ERROR: either {args.input_file} or {args.n} or both contains error.')
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