Behind the numbers: How we measure things · EMOTICONES

Nom page: Behind the numbers: How we measure things
URL: https://blog.x.com/en_us/a/2013/behind-the-numbers-how-we-measure-things
Date de publication: 2013-07-02
Date de consultation: 2024-11-14
Mots-clés: Sentiment
Verbatims affectifs: "Sentiment
Sentiment analysis of Tweets is still being developed by companies around the world. Can you tell what someone is thinking by the way they tweet? Companies think they can and Datasift, for instance, claims to be 70% accurate in its analysis of sentiment. However, sentiment analysis as a whole is at its beginnings."
Thème général (contenu, image, etc.): Analyse des sentiments
Recommandations et bonnes pratiques: "And what is the data that can tell you how engaged your audience is on Twitter?
These are among the main measures we use inside Twitter. At the moment they give us amazing insights into the way we tweet. As we get new methods of counting, we will report them here."
Effets attendus de ces recommandations ou objectifs qu’elles permettent d’atteindre: Encourager la recherche sur les sentiments pour améliorer l'engagement de son audience
Type d'utilisation de l'émotion (Prescription/autodéfinition): Préscription
Thèmes: Créer un lien avec son audience
Catégorie: Utiliser les émotions comme données de recherche
Images: Null
Cas/exemples/illustrations: Null
Contraintes: Null
Interdictions: Null
Sanctions: Null