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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 5 of 5 1 MULDASA:Multifactor Lexical Sentiment Analysis of Social-Media Content in Nonstandard Arabic Social Media Alwakid, Ghadah; Osman, Taha; El-Haj, Mahmoud. - 2022 BASE Show details 2 An Arabic Dataset for Disease Named Entity Recognition with Multi-Annotation Schemes ... Alshammari, Nasser; Alanazi, Saad. - : Zenodo, 2020 BASE Show details 3 An Arabic Dataset for Disease Named Entity Recognition with Multi-Annotation Schemes ... Alshammari, Nasser; Alanazi, Saad. - : Zenodo, 2020 BASE Show details 4 Saudi Dialect Twitter Corpus (SDTwittC) ... Alanazi, Saad. - : IEEE DataPort, 2019 BASE Show details 5 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://dx.doi.org/10.21227/ekmr-e053 https://ieee-dataport.org/documents/saudi-dialect-twitter-corpus-sdtwittc BASE Hide details

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