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Discovering word associations in news media via feature selection and sparse classification

, , , , , and . MIR '10: international conference on Multimedia information retrieval, page 211--220. (2010)

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Conducting sparse feature selection on arbitrarily long phrases in text corpora with a focus on interpretability., and . Stat. Anal. Data Min., 9 (6): 435-460 (2016)Designing and assessing numeracy training for journalists: toward improving quantitative reasoning among media consumers., , , , , and . ICLS (2), page 246-253. International Society of the Learning Sciences, (2008)Matching with Text Data: An Experimental Evaluation of Methods for Matching Documents and of Measuring Match Quality., , , and . CoRR, (2018)PUMP: Estimating Power, Minimum Detectable Effect Size, and Sample Size When Adjusting for Multiple Outcomes in Multi-Level Experiments., , and . J. Stat. Softw., (2024)Discovering word associations in news media via feature selection and sparse classification, , , , , and . MIR '10: international conference on Multimedia information retrieval, page 211--220. (2010)Implementing Risk-Limiting Post-Election Audits in California., , , , , , , , , and . EVT/WOTE, USENIX Association, (2009)Predicting users' first impressions of website aesthetics with a quantification of perceived visual complexity and colorfulness., , , , , , and . CHI, page 2049-2058. ACM, (2013)Weak Separation in Mixture Models and Implications for Principal Stratification., , , , and . AISTATS, volume 151 of Proceedings of Machine Learning Research, page 5416-5458. PMLR, (2022)