Twitter datasets

Creators:

GitHub

Publication Date:

2024-10-23

Data Category:

Dataset Description:

This dataset collects data related to Twitter. It includes various publicly available Twitter datasets for research and analysis, covering a wide range of topics such as user behavior, tweets, hashtags, network analysis, and sentiment analysis. Researchers can utilize these datasets for tasks like sentiment analysis, trend detection, network analysis, and studying information diffusion on social platforms. The datasets are typically structured to include variables such as:

tweet_ID: Unique identifier for each tweet.
text: Content of the tweet.
date: Timestamp indicating when the tweet was posted.
user_ID: Identifier for the user who posted the tweet.
propositions: Extracted linguistic propositions or predicate phrases within the tweet.
coreference Information: Identifies predicates that refer to the same entities in context.
source_URL: URL link to the original tweet or associated content, if available.

Publications Citing This Dataset:

Zhiyuan Cheng, James Caverlee, and Kyumin Lee. 2010. You are where you tweet: a content-based approach to geo-locating twitter users. In Proceedings of the 19th ACM international conference on Information and knowledge management (CIKM '10). Association for Computing Machinery, New York, NY, USA, 759–768. https://doi.org/10.1145/1871437.1871535

Variables:

Details:

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Name	Description
tweet_ID	Unique identifier for each tweet
text	The content of the tweet
date	Date when the tweet was posted
user_ID	Identifier for the user who posted the tweet
propositions	Extracted linguistic propositions or predicate phrases within the tweet
coreference Information	Identifies predicates that refer to the same entities in context
source_URL	URL link to the original tweet or news source (if available)

Twitter datasets

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