Structural Topic Model
The Structural Topic Model (STM) is a text-as-data method that discovers latent themes in a corpus while letting document metadata — party, time, gender, treatment condition — shape those themes. Introduced by Roberts, Stewart, Tingley and colleagues in 2014, it generalizes correlated topic modeling so that topic prevalence (how much a document is about a topic) and topic content (the words used to express a topic) can both depend on covariates. The result is a single model that simultaneously estimates topics and how their use varies across known groups, with uncertainty.
Pročitajte cijelu metodu
Prijavite se besplatnim računom kako biste pročitali ovaj odjeljak.
Karta metoda
Okruženje srodnih metoda — odaberite čvor za istraživanje.
Izvori
- Roberts, M. E., Stewart, B. M., Tingley, D., Lucas, C., Leder-Luis, J., Gadarian, S. K., Albertson, B., & Rand, D. G. (2014). Structural Topic Models for Open-Ended Survey Responses. American Journal of Political Science, 58(4), 1064–1082. DOI: 10.1111/ajps.12103 ↗
- Roberts, M. E., Stewart, B. M., & Tingley, D. (2019). stm: An R Package for Structural Topic Models. Journal of Statistical Software, 91(2), 1–40. DOI: 10.18637/jss.v091.i02 ↗
- Grimmer, J., & Stewart, B. M. (2013). Text as Data: The Promise and Pitfalls of Automatic Content Analysis Methods for Political Texts. Political Analysis, 21(3), 267–297. DOI: 10.1093/pan/mps028 ↗
Kako citirati ovu stranicu
ScholarGate. (2026, June 22). Structural Topic Model (Topic Modeling with Document-Level Covariates). ScholarGate. https://scholargate.app/hr/political-science/structural-topic-model
Koja metoda?
Postavite ovu metodu uz njoj najsrodnije i pročitajte ih jednu uz drugu — knjižnica vam knjige stavlja na stol; izbor je na vama.
- Dictionary-Based Text Analysis in PoliticsPolitical Science↔ usporedi
- LDA model temaDuboko učenje↔ usporedi
- Supervised Text ClassificationPolitical Science↔ usporedi
- Modeliranje temaDuboko učenje↔ usporedi
- Wordfish ScalingPolitical Science↔ usporedi
Citirana u
Slične metode
Uočili ste pogrešku na ovoj stranici? Prijavite je ili predložite ispravak →