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https://github.com/bellingcat/tiktok-hashtag-analysis.git
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@@ -1,71 +1,75 @@
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import os, sys
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import csv, json
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import matplotlib.pyplot as plt
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from collections import Counter, OrderedDict
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def get_hashtag_list(obj):
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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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hashtag_list = []
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length = len(obj)
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for i in range(length):
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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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hashtag_list.append(hashtag['name'])
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return hashtag_list
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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 create_csv(file_name, d):
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def create_csv(file_name, path, d):
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with open(path, "w") as f:
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f.write(f"Name, Occurances, Positions" + "\n")
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for key,value in d.items():
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f.write(f"{key}, {value[0]}, " + f"{value[1]}".replace(",", ";") + "\n")
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print(f'The sorted hashtag occcurances list is contained in the file {path}.')
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return None
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def plot_occurances(file_name, plots):
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base = os.path.splitext(file_name)[0]
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path = f"./{base}_sorted_hashtags.csv"
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if os.path.exists(path):
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print(f'The file {path} containing hashtag occurances already exists.')
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return None
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print(f'The file {path} containing hashtag occurances already exists. If you would like to generate a plot, please delete the file {path} and re-run the script.')
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return
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else:
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with open(path, "w") as f:
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f.write(f"Name, Occurances" + "\n")
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for key,value in d.items():
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f.write(f"{key}, {value}" + "\n")
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print(f'The sorted hashtag occcurances list is contained in the file {path}.')
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return None
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with open(file_name) 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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sorted_tags = {k: v for k,v in sorted(tags.items(), key=lambda item: item[1], reverse=True)}
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create_csv(file_name, path, sorted_tags)
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k = list(sorted_tags.keys())
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v = list(sorted_tags.values())
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v = [i[0] for i in v]
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k = k[:plots]
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v = v[:plots]
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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 {plots} hashtags from {l} posts.')
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plt.ylabel(f'Number of occurances')
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plt.show()
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return
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def plot_hashtag_occurances(file_name, plots):
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with open(file_name) as f:
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obj = json.load(f)
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length = len(obj)
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hashtag_list = get_hashtag_list(obj)
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hashtags = Counter(hashtag_list).most_common()
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hashtags_sorted = {k:v for (k,v) in hashtags}
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create_csv(file_name, hashtags_sorted)
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k = list(hashtags_sorted.keys())
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v = list(hashtags_sorted.values())
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k = k[:plots]
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v = v[:plots]
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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 {plots} hashtags from {length} posts.')
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plt.ylabel(f'Number of occurances')
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plt.show()
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return
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if len(sys.argv) != 3:
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print(f'ERROR: Please make sure you enter the following in the command line: python3 file.json n. Where n is a positive integer value and will plot top n hashtags in the number of occurances.')
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sys.exit()
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else:
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try:
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int(sys.argv[2])
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except:
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print(f'ERROR: Please make sure the number in the command line input: python3 file.json n, is a positive integer.')
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raise
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try:
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plot_hashtag_occurances(sys.argv[1], int(sys.argv[2]))
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except:
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print("Unexpected error:", sys.exc_info()[0])
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raise
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if __name__ == "__main__":
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if len(sys.argv) != 3:
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print(f'ERROR: Please make sure you enter the following in the command line: python3 file.json n. Where n is a positive integer value and will plot top n hashtags in the number of occurances.')
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sys.exit()
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else:
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try:
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int(sys.argv[2])
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except:
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print(f'ERROR: Please make sure the number in the command line input: python3 file.json n, is a positive integer.')
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raise
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try:
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plot_occurances(sys.argv[1], int(sys.argv[2]))
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except:
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print("Unexpected error:", sys.exc_info()[0])
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raise
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64
extract_posts.py
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64
extract_posts.py
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@@ -0,0 +1,64 @@
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import os, sys
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import csv, json
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import re
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from pandas import *
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def arg_check():
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if len(sys.argv) != 3:
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print(f'ERROR: Please make sure you enter the following in the command line: python3 extract_posts.py file.json hashtag')
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sys.exit()
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else:
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return
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def get_hashtag_positions(file_name, hashtag):
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base = os.path.splitext(file_name)[0]
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path = f"./{base}_sorted_hashtags.csv"
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if not os.path.exists(path):
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print(f'Generating {path} ...')
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os.system(f'python3 extract_hashtag.py {file_name} {1}')
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return tag_membership(hashtag, path)
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def tag_membership(hashtag, path):
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data = read_csv(path)
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position_str = list(data[data["Name"] == hashtag].values[:, 2])
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if position_str:
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position_str = re.split('{|}', str(position_str))[1]
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p = position_str.replace(";", ",")
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positions = [int(s) for s in p.split(",")]
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return positions
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else:
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return
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def print_posts(file_name, path, hashtag, positions):
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with open(file_name) as f:
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data = json.load(f)
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posts = []
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for p in positions:
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posts.append(data[p])
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keys = posts[0].keys()
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with open(path, 'w', newline='') as csv_file:
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writer = csv.DictWriter(csv_file, keys)
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writer.writeheader()
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writer.writerows(posts)
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print(f'The posts are contained in the file {path}.')
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return
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if __name__ == "__main__":
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arg_check()
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file_name = sys.argv[1]
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hashtag = sys.argv[2]
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path = f"./{hashtag}_posts.csv"
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if os.path.exists(path):
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print(f'The file {path} containing hashtag occurances already exists. If you would like to run the script afresh, please delete the file {path} and re-run the script.')
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sys.exit()
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else:
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positions = get_hashtag_positions(file_name, hashtag)
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if positions:
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print_posts(file_name, path, hashtag, positions)
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else:
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print(f'{hashtag} not found!!!!')
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sys.exit()
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