How to retrieve Twitter username with UUID
$begingroup$
I am trying to analyze FakeNewsNet
which is a dataset for Social Network Analysis.
There are UUID(?)s of users in the dataset but I am sure how to retrieve metadata from it.
Can someone explain to me where I can find the information on how to use user_id of User.txt
?
Is it even possible to retrieve the metadata of a user with this id? (may using Twitter Search API)
Reference: https://github.com/KaiDMML/FakeNewsNet/blob/master/Data/BuzzFeed/User.txt
social-network-analysis
$endgroup$
add a comment |
$begingroup$
I am trying to analyze FakeNewsNet
which is a dataset for Social Network Analysis.
There are UUID(?)s of users in the dataset but I am sure how to retrieve metadata from it.
Can someone explain to me where I can find the information on how to use user_id of User.txt
?
Is it even possible to retrieve the metadata of a user with this id? (may using Twitter Search API)
Reference: https://github.com/KaiDMML/FakeNewsNet/blob/master/Data/BuzzFeed/User.txt
social-network-analysis
$endgroup$
add a comment |
$begingroup$
I am trying to analyze FakeNewsNet
which is a dataset for Social Network Analysis.
There are UUID(?)s of users in the dataset but I am sure how to retrieve metadata from it.
Can someone explain to me where I can find the information on how to use user_id of User.txt
?
Is it even possible to retrieve the metadata of a user with this id? (may using Twitter Search API)
Reference: https://github.com/KaiDMML/FakeNewsNet/blob/master/Data/BuzzFeed/User.txt
social-network-analysis
$endgroup$
I am trying to analyze FakeNewsNet
which is a dataset for Social Network Analysis.
There are UUID(?)s of users in the dataset but I am sure how to retrieve metadata from it.
Can someone explain to me where I can find the information on how to use user_id of User.txt
?
Is it even possible to retrieve the metadata of a user with this id? (may using Twitter Search API)
Reference: https://github.com/KaiDMML/FakeNewsNet/blob/master/Data/BuzzFeed/User.txt
social-network-analysis
social-network-analysis
edited 15 mins ago
I_Play_With_Data
947419
947419
asked Dec 26 '18 at 3:00
Jiho ChoiJiho Choi
112
112
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1 Answer
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$begingroup$
It is not possible with the current version of the dataset, the User.txt
ids are hashed. But, the pre-processed features are in UserFeature.mat
which you can load with something like
import scipy.io
mat = scipy.io.loadmat('UserFeature.mat')
mat['X'][0]
will then be the feature vector for the first user id in the text file.
There are no descriptions of the feature names either (or at least I didn't find any)
New contributor
$endgroup$
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
$begingroup$
It is not possible with the current version of the dataset, the User.txt
ids are hashed. But, the pre-processed features are in UserFeature.mat
which you can load with something like
import scipy.io
mat = scipy.io.loadmat('UserFeature.mat')
mat['X'][0]
will then be the feature vector for the first user id in the text file.
There are no descriptions of the feature names either (or at least I didn't find any)
New contributor
$endgroup$
add a comment |
$begingroup$
It is not possible with the current version of the dataset, the User.txt
ids are hashed. But, the pre-processed features are in UserFeature.mat
which you can load with something like
import scipy.io
mat = scipy.io.loadmat('UserFeature.mat')
mat['X'][0]
will then be the feature vector for the first user id in the text file.
There are no descriptions of the feature names either (or at least I didn't find any)
New contributor
$endgroup$
add a comment |
$begingroup$
It is not possible with the current version of the dataset, the User.txt
ids are hashed. But, the pre-processed features are in UserFeature.mat
which you can load with something like
import scipy.io
mat = scipy.io.loadmat('UserFeature.mat')
mat['X'][0]
will then be the feature vector for the first user id in the text file.
There are no descriptions of the feature names either (or at least I didn't find any)
New contributor
$endgroup$
It is not possible with the current version of the dataset, the User.txt
ids are hashed. But, the pre-processed features are in UserFeature.mat
which you can load with something like
import scipy.io
mat = scipy.io.loadmat('UserFeature.mat')
mat['X'][0]
will then be the feature vector for the first user id in the text file.
There are no descriptions of the feature names either (or at least I didn't find any)
New contributor
New contributor
answered 11 hours ago
Igor BrigadirIgor Brigadir
112
112
New contributor
New contributor
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