Text as Data

Text as Data

A New Framework for Machine Learning and the Social Sciences

Roberts, Margaret E.; Stewart, Brandon M.; Grimmer, Justin

Princeton University Press

03/2022

360

Mole

Inglês

9780691207551

15 a 20 dias

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Content analysis; Social science; Measurement; KPR; Causal inference; Inference; Prediction; Hypothesis; Theory; Censorship; Concept; Conceptualization (information science); Analysis; Machine learning; Prevalence; Test set; Philosophy of science; Thought; High- and low-level; Topic model; Literature; Quantity; Critique; Hand coding; Research program; Cross-validation (statistics); Test theory; Digital humanities; Manifesto; Observational study; Result; Explanation; National security; Curse of dimensionality; Intellectual history; Stylometry; Observation; Political science; Email spam; Accuracy and precision; Business ethics; Humanities; Data science; Latent Dirichlet allocation; Indication (medicine); Face validity; Religion; Ideology; Principle; Essay; Computational resource; Close reading; Complexity; Internet censorship; Computer scientist; Qualitative research; General knowledge; Secularization; Electoral reform; Freedom of speech; Text corpus; Item response theory; Notation; Party platform; Inductive reasoning; Coding (social sciences); Field experiment; Voting; Cluster analysis; Information sensitivity