Capturing Changes in Social Media Content: A Multiple Latent Changepoint Topic Model

Autor:	David A. Schweidel, Ning Zhong
Rok vydání:	2020
Předmět:	Marketing Topic model Computer science 0502 economics and business 05 social sciences 050211 marketing Social media 050207 economics Business and International Management Content (Freudian dream analysis) Data science
Zdroj:	Marketing Science. 39:827-846
ISSN:	1526-548X 0732-2399
DOI:	10.1287/mksc.2019.1212
Popis:	We develop a topic model with multiple latent changepoints and demonstrate an approach to detect changes in the topics mentioned in brand-related social media posts.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::c2725787478a34e93a1111352373b64b https://doi.org/10.1287/mksc.2019.1212 Zobrazit plný text záznamu