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Saudi Dialect Twitter Corpus (SDTwittC) ...
Alanazi, Saad. - : IEEE DataPort, 2019
Abstract: SDTwittC consists of 200 authors evenly balanced by gender (100 for each). We identified the gender of the tweeters via their names and profile pictures. As potential copy-and-paste texts, both tweets and retweets are discarded in the first place. Only replies are compiled. The number of replies for each author varies from hundreds to thousands. Male authors produced 233926 replies whereas 219740 replies are generated by the female group ...
Keyword: Automatic gender detection; Computational Intelligence
URL: https://ieee-dataport.org/documents/saudi-dialect-twitter-corpus-sdtwittc
https://dx.doi.org/10.21227/cjw6-rm59
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Saudi Dialect Twitter Corpus (SDTwittC) ...
Alanazi, Saad. - : IEEE DataPort, 2019
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