The human face of big data · EMOTICONES

Nom page: The human face of big data
URL: https://blog.x.com/en_us/a/2012/the-human-face-of-big-data
Date de publication: 2012-10-18
Date de consultation: 2024-11-07
Mots-clés: Sentiment
Verbatims affectifs: "Each week the millions of Tweets about the U.S. presidential candidates provide a real-time barometer of voter sentiment. Sometimes Twitter data can even help people when they need it most: during moments of crisis like natural disasters."
Thème général (contenu, image, etc.): Analyse des sentiments
Tweet
Recommandations et bonnes pratiques: "Every day, Twitter users send 400 million Tweets expressing a vast array of ideas and opinions. Collectively, and studied in aggregate, public Tweets are not only measurable. They can reveal any number of clues and trends about who we are: our cultures, our mindsets, who we favor or disfavor, and much more."
Effets attendus de ces recommandations ou objectifs qu’elles permettent d’atteindre: Utiliser Twitter comme un outil pouvant mesurer les sentiments
Type d'utilisation de l'émotion (Prescription/autodéfinition): Autodéfinition
Thèmes: Créer un lien avec son audience
Catégorie: Utiliser les émotions comme données de recherche
Images: Null
Cas/exemples/illustrations: "For instance, analyzing billions of Tweets helped two researchers unlock new insights about public health issues and the way disease is spread."
Contraintes: Null
Interdictions: Null
Sanctions: Null