Titlebook: Social Informatics; 12th International C Samin Aref,Kalina Bontcheva,Dino Pedreschi Conference proceedings 2020 Springer Nature Switzerland

Allergic

Lecture Notes in Computer Sciencehttp://image.papertrans.cn/s/image/869541.jpg

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阴郁

Arthur Capozzi,Gianmarco De Francisci Morales,Yelena Mejova,Corrado Monti,André Panisson,Daniela Pao

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Lucia Lushi Chen,Walid Magdy,Heather Whalley,Maria Wolters

Heart-Attack

Combining Language Models and Network Features for Relevance-Based Tweet Classification,n particular for the larger categories. In addition, we find that the influence of a user based on his or her social position, is of high relevance in some particular tweet categories. The proposed approach may prove useful in the automated real-time detection of relevant Twitter content in crisis s

Type-1-Diabetes

Verify

Understanding the , Movement Through the Lens of the Twitter,he facets out of many being discovered are as follows (1) SH incidents reporting is high for people of color (color means other than white); (2) discussion over color often leads to the use of hate and offensive vocabulary; and (3) along with workplaces, domestic SH cases are higher.

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