The human face of big data
- 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
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