Sonora: A Prescriptive Model for Message Authoring on Twitter

Autor:	Clemens Drews, Alfredo Alba, Meena Nagarajan, Pablo N. Mendes, Steve Welch, Kau Chris, Daniel Gruhl, Neal R. Lewis
Rok vydání:	2014
Předmět:	World Wide Web Phrase Multimedia Computer science Word choice Target audience Relevance (information retrieval) computer.software_genre computer Random forest
Zdroj:	Web Information Systems Engineering – WISE 2014 ISBN: 9783319117454 WISE (2)
Popis:	Within social networks, certain messages propagate with more ease or attract more attention than others. This effect can be a consequence of several factors, such as topic of the message, number of followers, real-time relevance, person who is sending the message etc. Only one of these factors is within a user’s reach at authoring time: how to phrase the message. In this paper we examine how word choice contributes to the propagation of a message.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::3cd4ed602c10e7781efa13f027763c00 https://doi.org/10.1007/978-3-319-11746-1_2 Zobrazit plný text záznamu