Datasets:
Tasks:
Text Classification
Modalities:
Text
Sub-tasks:
sentiment-classification
Languages:
English
Size:
10K<n<100K
ArXiv:
License:
from credentials import CONSUMER_KEY, CONSUMER_SECRET | |
import tweepy, json | |
from time import sleep | |
def fetch_tweets(rows): | |
tweet_ids = [row['original_id'] for row in rows] | |
return {tweet.id_str:tweet for tweet in fetch_ids(tweet_ids) if tweet.id_str != ''} | |
def fetch_ids(ids): | |
id_lists = [ids[x:x+100] for x in range(0, len(ids), 100)] | |
tweets = [] | |
for idx, id_list in enumerate(id_lists): | |
print('{}.'.format(len(id_lists) - idx), flush=True, end='') | |
tweets.extend([tweet for tweet in api.statuses_lookup(id_list, tweet_mode='extended')]) | |
print() | |
return tweets | |
def deanon(de_anon_file, rows, tweets): | |
found = 0 | |
with open(de_anon_file, 'w') as f: | |
for row in rows: | |
if row['original_id'] in tweets: | |
found += 1 | |
row['text'] = tweets[row['original_id']].full_text | |
f.write((json.dumps(row, ensure_ascii=False) + "\n")) | |
print(f'Found {found} tweets out of {len(rows)}.') | |
def convert(anon_file, de_anon_file): | |
print('Fetching texts for {}'.format(anon_file)) | |
rows = [json.loads(row) for row in open(anon_file, 'r').readlines()] | |
tweets = fetch_tweets(rows) | |
deanon(de_anon_file, rows, tweets) | |
if __name__ == "__main__": | |
try: | |
CONSUMER_KEY | |
CONSUMER_SECRET | |
except: | |
print('Edit credentials.py to add your Twitter API credentials in the first two lines (CONSUMER_KEY and CONSUMER_SECRET)') | |
print('See here for more information on getting API credentials: https://developer.twitter.com/en/apps') | |
exit(1) | |
auth = tweepy.AppAuthHandler(CONSUMER_KEY , CONSUMER_SECRET) | |
api = tweepy.API(auth, wait_on_rate_limit=True, | |
wait_on_rate_limit_notify=True, | |
retry_count=10, retry_delay=60, | |
retry_errors=[400] + list(range(402,599))) | |
print('This can take some time, so make yourself a cup of Taiwanese oolong tea and let the magic happen!') | |
sleep(3) | |
convert('ReactionGIF.ids.json', 'ReactionGIF.json') | |
print('That\'s it! Hope you enjoyed the ride :)') | |