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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 6 of 6 1 Identifying Linguistic Cues of Fake News Associated with Cognitive and Affective Processing: Evidence from NeuroIS Lutz, Bernhard; Adam, Marc T. P.; Feuerriegel, Stefan. - 2020 BASE Show details 2 Learning interpretable negation rules via weak supervision at document level: A reinforcement learning approach ... Pröllochs, Nicolas; Feuerriegel, Stefan; Neumann, Dirk. - : ETH Zurich, 2019 BASE Show details 3 Learning interpretable negation rules via weak supervision at document level: A reinforcement learning approach Pröllochs, Nicolas; Feuerriegel, Stefan; Neumann, Dirk In: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2019) BASE Show details 4 Statistical Inferences for Polarity Identification in Natural Language Pröllochs, Nicolas; Feuerriegel, Stefan; Neumann, Dirk In: PLoS ONE, 13 (12) (2018) Abstract: Information forms the basis for all human behavior, including the ubiquitous decision-making that people constantly perform in their every day lives. It is thus the mission of researchers to understand how humans process information to reach decisions. In order to facilitate this task, this work proposes LASSO regularization as a statistical tool to extract decisive words from textual content in order to study the reception of granular expressions in natural language. This differs from the usual use of the LASSO as a predictive model and, instead, yields highly interpretable statistical inferences between the occurrences of words and an outcome variable. Accordingly, the method suggests direct implications for the social sciences: it serves as a statistical procedure for generating domain-specific dictionaries as opposed to frequently employed heuristics. In addition, researchers can now identify text segments and word choices that are statistically decisive to authors or readers and, based on this knowledge, test hypotheses from behavioral research. ; ISSN:1932-6203 URL: https://doi.org/10.3929/ethz-b-000309052 https://hdl.handle.net/20.500.11850/309052 BASE Hide details 5 Statistical inferences for polarity identification in natural language Pröllochs, Nicolas; Feuerriegel, Stefan; Neumann, Dirk. - : Public Library of Science, 2018 BASE Show details 6 Statistical inferences for polarity identification in natural language Pröllochs, Nicolas; Feuerriegel, Stefan; Neumann, Dirk In: PLOS ONE. - 13, 12 (2018) , e0209323, ISSN: 1932-6203 (2018) BASE Show details

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