ANALYZING SOCIAL MEDIA DATA TO IDENTIFY MARKERS OF COORDINATED MOVEMENTS, USING STANCE DETECTION, AND USING CLUSTERING TECHNIQUES

ANALYZING SOCIAL MEDIA DATA TO IDENTIFY MARKERS OF COORDINATED MOVEMENTS, USING STANCE DETECTION, AND USING CLUSTERING TECHNIQUES

The present disclosure relates to methods for analyzing social media data using various techniques, including classifying at least one contagious phenomenon propagating on a network, providing stance detection based on the social media data, clustering the social media data, and/or generating and an...

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Bibliographische Detailangaben
Hauptverfasser: IMAS, Eugene, MCAWEENEY, Erin R, WEISS, Kyle D, SETSER, Arman A, MCQUILLAN, Elizabeth, CARTER, Joseph A, DECTER-FRAIN, Ari G, KELLY, John W, BARASH, Vladimir D, LOPEZ GUEVARA, Cristina M, DESHPANDE, Amruta J, NIKOLOVA, Denitsa D
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
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Beschreibung
Zusammenfassung:The present disclosure relates to methods for analyzing social media data using various techniques, including classifying at least one contagious phenomenon propagating on a network, providing stance detection based on the social media data, clustering the social media data, and/or generating and analyzing knowledge graph embeddings using the social media data.