def troll_bot_analyzer(user, api):
try:
user_data = data_user(user, api)
except tweepy.TweepError:
logging.error("This user is protected or does not exist. His information cannot be accessed")
else:
if len(user_data["tweets"]) == 0:
logging.error("There is not enough information to classify this user")
return False
hashtags_per_tweet = float(user_data["number_hashtags"]) / len(user_data["tweets"])
mentions_per_tweet = float(user_data["number_mentions"]) / len(user_data["tweets"])
percentage_tweet_with_mention = float(user_data["tweet_with_mentions"]) / len(user_data["tweets"])
percentage_tweet_with_hashtag = float(user_data["tweets_with_hashtags"]) / len(user_data["tweets"])
signs_per_char, capitals_per_char, activity, percentage_tweet_with_omg = drama_queen(user_data)
periodicity, answer = periodicity_answer(user_data)
diversity_hashtags = tweet_iteration_hashtags(user_data)
diversity_tweets = tweet_iteration_stemming(user_data)
urls_percentage = tweet_iteration_urls(user_data)
num_stalker, who_stalker = stalker(user_data)
per_drama_queen = percentage_drama_queen(activity, percentage_tweet_with_omg, capitals_per_char, signs_per_char,
percentage_tweet_with_hashtag, percentage_tweet_with_mention,
mentions_per_tweet, hashtags_per_tweet)
per_bot = percentage_bot(periodicity, answer, diversity_tweets)
per_stalker, famous, non_famous = percentage_stalker(num_stalker, who_stalker, mentions_per_tweet, percentage_tweet_with_mention, api)
if per_stalker == 0:
per_stalker = num_stalker
per_spammer = percentage_spammer(diversity_tweets, diversity_hashtags, urls_percentage)
per_hater = (1 - sentiment(user_data)) * 100
max_value = [per_bot, per_drama_queen, per_stalker, per_hater, per_spammer]
index = max_value.index(max(max_value))
labels = ["bot", "drama_queen", "stalker", "hater", "spammer"]
final = labels[index]
return {"user_id": user, "bot": per_bot, "drama_queen": per_drama_queen, "stalker": per_stalker, "hater": per_hater, "spammer": per_spammer, "famous": famous, "non_famous": non_famous, "stalked": who_stalker, "final": final}
def process_cursor(cursor):
for user in cursor:
ans_period, ans_percent = periodicity_answer(user)
signs, capitals, activity, omg = drama_queen(user)
new_user = {
"account_name": user["user"],
"account_old": user["days_account"],
"account_desc": user["user_json"]["description"],
"account_mentions": user["number_mentions"],
"account_hashtags": user["number_hashtags"],
"account_language": user["user_json"]["lang"],
"account_followers": user["user_json"]["followers_count"],
"account_followees": user["user_json"]["friends_count"],
"account_geo": user["user_json"]["geo_enabled"],
"account_location": user["user_json"]["location"],
"account_total_tweets": user["user_json"]["statuses_count"],
"account_verified": user["user_json"]["verified"],
"tweet_period": ans_period,
"tweet_signs": signs,
"tweet_capitals": capitals,
"tweet_activity": activity,
"tweet_omg": omg,
"tweet_steeming": tweet_iteration_stemming(user),
"tweet_hashtags": tweet_iteration_hashtags(user),
"tweets_with_hashtags": user["tweets_with_hashtags"],
"tweets_positive": sentiment(user),
"answer_percent": ans_percent,
}
table.upsert(new_user)
def process_cursor(cursor):
for user in cursor:
ans_period, ans_percent = periodicity_answer(user)
signs, capitals, activity, omg = drama_queen(user)
new_user = {
"account_name": user["user"],
"account_old": user["days_account"],
"account_desc": user["user_json"]["description"],
"account_mentions": user["number_mentions"],
"account_hashtags": user["number_hashtags"],
"account_language": user["user_json"]["lang"],
"account_followers": user["user_json"]["followers_count"],
"account_followees": user["user_json"]["friends_count"],
"account_geo": user["user_json"]["geo_enabled"],
"account_location": user["user_json"]["location"],
"account_total_tweets": user["user_json"]["statuses_count"],
"account_verified": user["user_json"]["verified"],
"tweet_period": ans_period,
"tweet_signs": signs,
"tweet_capitals": capitals,
"tweet_activity": activity,
"tweet_omg": omg,
"tweet_steeming": tweet_iteration_stemming(user),
"tweet_hashtags": tweet_iteration_hashtags(user),
"tweets_with_hashtags": user["tweets_with_hashtags"],
"tweets_positive": sentiment(user),
"answer_percent": ans_percent
}
table.upsert(new_user)
def troll_bot_analyzer(user, api):
try:
user_data = data_user(user, api)
except tweepy.TweepError:
logging.error(
"This user is protected or does not exist. His information cannot be accessed"
)
else:
if len(user_data["tweets"]) == 0:
logging.error(
"There is not enough information to classify this user")
return False
hashtags_per_tweet = float(user_data["number_hashtags"]) / len(
user_data["tweets"])
mentions_per_tweet = float(user_data["number_mentions"]) / len(
user_data["tweets"])
percentage_tweet_with_mention = float(
user_data["tweet_with_mentions"]) / len(user_data["tweets"])
percentage_tweet_with_hashtag = float(
user_data["tweets_with_hashtags"]) / len(user_data["tweets"])
signs_per_char, capitals_per_char, activity, percentage_tweet_with_omg = drama_queen(
user_data)
periodicity, answer = periodicity_answer(user_data)
diversity_hashtags = tweet_iteration_hashtags(user_data)
diversity_tweets = tweet_iteration_stemming(user_data)
urls_percentage = tweet_iteration_urls(user_data)
num_stalker, who_stalker = stalker(user_data)
per_drama_queen = percentage_drama_queen(
activity, percentage_tweet_with_omg, capitals_per_char,
signs_per_char, percentage_tweet_with_hashtag,
percentage_tweet_with_mention, mentions_per_tweet,
hashtags_per_tweet)
per_bot = percentage_bot(periodicity, answer, diversity_tweets)
per_stalker, famous, non_famous = percentage_stalker(
num_stalker, who_stalker, mentions_per_tweet,
percentage_tweet_with_mention, api)
if per_stalker == 0:
per_stalker = num_stalker
per_spammer = percentage_spammer(diversity_tweets, diversity_hashtags,
urls_percentage)
per_hater = (1 - sentiment(user_data)) * 100
max_value = [
per_bot, per_drama_queen, per_stalker, per_hater, per_spammer
]
index = max_value.index(max(max_value))
labels = ["bot", "drama_queen", "stalker", "hater", "spammer"]
final = labels[index]
return {
"user_id": user,
"bot": per_bot,
"drama_queen": per_drama_queen,
"stalker": per_stalker,
"hater": per_hater,
"spammer": per_spammer,
"famous": famous,
"non_famous": non_famous,
"stalked": who_stalker,
"final": final
}
