Twitter stance detection
- Citation Author(s):
-
Zhiping Xiao
- Submitted by:
- Chao Meng
- Last updated:
- DOI:
- 10.21227/nppr-ff08
11 views
- Categories:
- Keywords:
Abstract
https://github.com/PatriciaXiao/TIMME/tree/master/data/P_all
The components in the datasets:
- dict.csv: the ground-truth labels of the politicians.
- friend_list.csv: the relation of A follow B.
- favorite_list.csv: the relation of A like B's tweet.
- mention_list.csv: the relation of A mention B in her/his tweet (retweeting's automatic @ is excluded).
- reply_list.csv: the relation of A replying to B's tweet.
- retweet_list.csv: the relation of A retweet from B. This retweet include retweeting with / without comments. In other places, retweet with comment is sometimes referred to as "quote". The reason why they treated them the same is that, from a Twitter user's side these two options are almost the same.
- tweet_features.npz: the file storing the average GloVe embeddings of the words in each user's tweets.
Instructions:
The components in the datasets:
- dict.csv: the ground-truth labels of the politicians.
- friend_list.csv: the relation of A follow B.
- favorite_list.csv: the relation of A like B's tweet.
- mention_list.csv: the relation of A mention B in her/his tweet (retweeting's automatic @ is excluded).
- reply_list.csv: the relation of A replying to B's tweet.
- retweet_list.csv: the relation of A retweet from B. This retweet include retweeting with / without comments. In other places, retweet with comment is sometimes referred to as "quote". The reason why they treated them the same is that, from a Twitter user's side these two options are almost the same.
- tweet_features.npz: the file storing the average GloVe embeddings of the words in each user's tweets.
