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Researching solidarity & emoji on social media using machine learning.

Samira Shaikh, PhD, Assistant Professor in Cognitive Science at the University of North Carolina, discusses her research of machine learning to understand solidarity and emoji use on social media, including skills needed to for both social science and computer science; collection of solidarity data;...

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Bibliographic Details
Other Authors: Shaikh, Samira (Academic.)
Format: Video
Language:English
Language Notes:Closed-captions in English.
Published: London : SAGE Publications Ltd, 2019.
Subjects:
Emoticons > Research.
Social media > Semiotics > Research.
Visual communication > Digital techniques > Research.
Machine learning.
Binettes (Informatique) > Recherche.
Sémiotique et médias sociaux > Recherche.
Communication visuelle > Techniques numériques > Recherche.
Apprentissage automatique.
Online Access:Connect to this streaming video
Description
Summary:Samira Shaikh, PhD, Assistant Professor in Cognitive Science at the University of North Carolina, discusses her research of machine learning to understand solidarity and emoji use on social media, including skills needed to for both social science and computer science; collection of solidarity data; collection, management, and cleaning of Twitter data; the importance of emojis; challenges faced and overcome; working with social media in different languages; results of the research; aspects requiring further research; and advice for students conducting similar research.
Physical Description:1 online resource (1 video file (00:21:33)) : sound, colour
ISBN:9781526493422
152649342X