Issue with identification of Twitter object type
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As per Twitter documentation. There are 3 kind of Status objects (Tweet, Retweets and Quote Tweets).
I am searching for related tweets based on tweet id and find there are cases where both retweeted_status (used to identify Retweets) and quoted_status (used to identify Quote Tweets) missing.
So wanted to know what these Tweet objects represent.
Code Snippet:
#Imports
import tweepy
import pandas as pd
import json
#Variables that contains the user credentials to access Twitter API
access_token = ACCESS_TOKEN
access_token_secret = ACCESS_TOKEN_SECRET
consumer_key = CONSUMER_KEY
consumer_secret = CONSUMER_SECRET
#Authenticate Twitter API
auth = tweepy.OAuthHandler(consumer_key, consumer_secret)
auth.set_access_token(access_token, access_token_secret)
api = tweepy.API(auth)
#Entity refers to person or thing who's tweets we are interested in
entity = api.get_user('realDonaldTrump')
#Get recent status/tweet of entity
set_result = api.user_timeline(id=entity.id, count=1)
# tweet is a tweepy.models.Status object
# https://developer.twitter.com/en/docs/tweets/data-dictionary/overview/tweet-object
tweet = set_result[0]
#Fetch related tweets
related_tweets =
for status in tweepy.Cursor(api.search,
q=tweet.id_str,
#lang='en',
tweet_mode='extended').items(500):
related_tweets.append(status)
tweetdf = pd.DataFrame()
#Build the dataframe with key information
...
tweetdf['retweeted'] = list(map(
lambda tweet: int(hasattr(tweet,'retweeted_status')),
related_tweets))
tweetdf['quoted'] = list(map(
lambda tweet: int(hasattr(tweet,'quoted_status')),
related_tweets))
print(len(tweetdf[(tweetdf["retweeted"] == 0) & (tweetdf["quoted"] == 0)]))
twitter tweepy
asked Nov 24 '18 at 9:49
Shreyas JShreyas J
11
add a comment |
0
As per Twitter documentation. There are 3 kind of Status objects (Tweet, Retweets and Quote Tweets).
I am searching for related tweets based on tweet id and find there are cases where both retweeted_status (used to identify Retweets) and quoted_status (used to identify Quote Tweets) missing.
So wanted to know what these Tweet objects represent.
Code Snippet:
#Imports
import tweepy
import pandas as pd
import json
#Variables that contains the user credentials to access Twitter API
access_token = ACCESS_TOKEN
access_token_secret = ACCESS_TOKEN_SECRET
consumer_key = CONSUMER_KEY
consumer_secret = CONSUMER_SECRET
#Authenticate Twitter API
auth = tweepy.OAuthHandler(consumer_key, consumer_secret)
auth.set_access_token(access_token, access_token_secret)
api = tweepy.API(auth)
#Entity refers to person or thing who's tweets we are interested in
entity = api.get_user('realDonaldTrump')
#Get recent status/tweet of entity
set_result = api.user_timeline(id=entity.id, count=1)
# tweet is a tweepy.models.Status object
# https://developer.twitter.com/en/docs/tweets/data-dictionary/overview/tweet-object
tweet = set_result[0]
#Fetch related tweets
related_tweets =
for status in tweepy.Cursor(api.search,
q=tweet.id_str,
#lang='en',
tweet_mode='extended').items(500):
related_tweets.append(status)
tweetdf = pd.DataFrame()
#Build the dataframe with key information
...
tweetdf['retweeted'] = list(map(
lambda tweet: int(hasattr(tweet,'retweeted_status')),
related_tweets))
tweetdf['quoted'] = list(map(
lambda tweet: int(hasattr(tweet,'quoted_status')),
related_tweets))
print(len(tweetdf[(tweetdf["retweeted"] == 0) & (tweetdf["quoted"] == 0)]))
twitter tweepy
asked Nov 24 '18 at 9:49
Shreyas JShreyas J
11
add a comment |
0
0
0
As per Twitter documentation. There are 3 kind of Status objects (Tweet, Retweets and Quote Tweets).
I am searching for related tweets based on tweet id and find there are cases where both retweeted_status (used to identify Retweets) and quoted_status (used to identify Quote Tweets) missing.
So wanted to know what these Tweet objects represent.
Code Snippet:
#Imports
import tweepy
import pandas as pd
import json
#Variables that contains the user credentials to access Twitter API
access_token = ACCESS_TOKEN
access_token_secret = ACCESS_TOKEN_SECRET
consumer_key = CONSUMER_KEY
consumer_secret = CONSUMER_SECRET
#Authenticate Twitter API
auth = tweepy.OAuthHandler(consumer_key, consumer_secret)
auth.set_access_token(access_token, access_token_secret)
api = tweepy.API(auth)
#Entity refers to person or thing who's tweets we are interested in
entity = api.get_user('realDonaldTrump')
#Get recent status/tweet of entity
set_result = api.user_timeline(id=entity.id, count=1)
# tweet is a tweepy.models.Status object
# https://developer.twitter.com/en/docs/tweets/data-dictionary/overview/tweet-object
tweet = set_result[0]
#Fetch related tweets
related_tweets =
for status in tweepy.Cursor(api.search,
q=tweet.id_str,
#lang='en',
tweet_mode='extended').items(500):
related_tweets.append(status)
tweetdf = pd.DataFrame()
#Build the dataframe with key information
...
tweetdf['retweeted'] = list(map(
lambda tweet: int(hasattr(tweet,'retweeted_status')),
related_tweets))
tweetdf['quoted'] = list(map(
lambda tweet: int(hasattr(tweet,'quoted_status')),
related_tweets))
print(len(tweetdf[(tweetdf["retweeted"] == 0) & (tweetdf["quoted"] == 0)]))
twitter tweepy
asked Nov 24 '18 at 9:49
Shreyas JShreyas J
11
As per Twitter documentation. There are 3 kind of Status objects (Tweet, Retweets and Quote Tweets).
I am searching for related tweets based on tweet id and find there are cases where both retweeted_status (used to identify Retweets) and quoted_status (used to identify Quote Tweets) missing.
So wanted to know what these Tweet objects represent.
Code Snippet:
#Imports
import tweepy
import pandas as pd
import json
#Variables that contains the user credentials to access Twitter API
access_token = ACCESS_TOKEN
access_token_secret = ACCESS_TOKEN_SECRET
consumer_key = CONSUMER_KEY
consumer_secret = CONSUMER_SECRET
#Authenticate Twitter API
auth = tweepy.OAuthHandler(consumer_key, consumer_secret)
auth.set_access_token(access_token, access_token_secret)
api = tweepy.API(auth)
#Entity refers to person or thing who's tweets we are interested in
entity = api.get_user('realDonaldTrump')
#Get recent status/tweet of entity
set_result = api.user_timeline(id=entity.id, count=1)
# tweet is a tweepy.models.Status object
# https://developer.twitter.com/en/docs/tweets/data-dictionary/overview/tweet-object
tweet = set_result[0]
#Fetch related tweets
related_tweets =
for status in tweepy.Cursor(api.search,
q=tweet.id_str,
#lang='en',
tweet_mode='extended').items(500):
related_tweets.append(status)
tweetdf = pd.DataFrame()
#Build the dataframe with key information
...
tweetdf['retweeted'] = list(map(
lambda tweet: int(hasattr(tweet,'retweeted_status')),
related_tweets))
tweetdf['quoted'] = list(map(
lambda tweet: int(hasattr(tweet,'quoted_status')),
related_tweets))
print(len(tweetdf[(tweetdf["retweeted"] == 0) & (tweetdf["quoted"] == 0)]))
twitter tweepy
twitter tweepy
asked Nov 24 '18 at 9:49
Shreyas JShreyas J
11
asked Nov 24 '18 at 9:49
Shreyas JShreyas J
11
asked Nov 24 '18 at 9:49
Shreyas JShreyas J
11
asked Nov 24 '18 at 9:49
Shreyas JShreyas J
11
asked Nov 24 '18 at 9:49
Shreyas JShreyas J
11
11
add a comment |
add a comment |
0
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