2026-10-13T16:01:33Z https://data.mendeley.com/oai

oai:data.mendeley.com/zw6ypk5345.1 2020-12-18T10:54:00Z

Kejriwal, Mayank Emoji Extractions from Geotagged Twitter Data Mendeley Data We provide a filtered, pre-processed and anonymized dataset collected originally from the Twitter decahose (a random 10% sample of Twitter) over 29 days in October, 2016, to support computational social science research on how people on Twitter use emojis. The data comprises of a table with four columns and 4,057,872 rows (including a header). The fields of the table are: ID: A unique tweet ID that could also be used to ‘hydrate’ the contents of the tweet directly from Twitter. Country: The country code associated with the tweet. Language: The language metadata tag associated with the tweet. We only retain the top 30 languages (sorted by frequency of tweets) in our initial corpus. Emojis: The emojis extracted from the ‘text’ field of the tweet. The methodology that was used to extract the tweets is described in the next section. A paper that uses the data as the basis for its findings and also contains descriptive statistics: M. Kejriwal, Q. Wang, H. Li, L. Wang, An Empirical Study of Emoji Usage on Twitter in Linguistic and National Contexts. Online Social Networks and Media. In Press. Social Sciences Dataset doi:10.17632/zw6ypk5345.1 oai:data.mendeley.com/zw6ypk5345.1 Creative Commons Attribution 4.0 International http://creativecommons.org/licenses/by/4.0 https://data.mendeley.com/datasets/zw6ypk5345 2020-12-18T10:54:00Z