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David Swanson & Sergiu Gherghina. (2023) From opposition to government: how populist parties change their political communication in Northern Ireland. Irish Political Studies 0:0, pages 1-27.
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Christina Viehmann, Tilman Beck, Marcus Maurer, Oliver Quiring & Iryna Gurevych. (2023) Investigating Opinions on Public Policies in Digital Media: Setting up a Supervised Machine Learning Tool for Stance Classification. Communication Methods and Measures 17:2, pages 150-184.
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Mahbuba Rahman Purba, Moniya Akter, Rubayea Ferdows & Fuad Ahmed. (2022) A hybrid convolutional long short-term memory (CNN-LSTM) based natural language processing (NLP) model for sentiment analysis of customer product reviews in Bangla. Journal of Discrete Mathematical Sciences and Cryptography 25:7, pages 2111-2120.
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Timo Dobbrick, Julia Jakob, Chung-Hong Chan & Hartmut Wessler. (2022) Enhancing Theory-Informed Dictionary Approaches with “Glass-box” Machine Learning: The Case of Integrative Complexity in Social Media Comments. Communication Methods and Measures 16:4, pages 303-320.
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Joseph A. Bonito & Joann Keyton. (2022) A valence-based account of group interaction and decision making. Communication Monographs 89:2, pages 260-280.
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Eike Mark Rinke, Timo Dobbrick, Charlotte Löb, Cäcilia Zirn & Hartmut Wessler. (2022) Expert-Informed Topic Models for Document Set Discovery. Communication Methods and Measures 16:1, pages 39-58.
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Wouter van Atteveldt, Mariken A. C. G. van der Velden & Mark Boukes. (2021) The Validity of Sentiment Analysis: Comparing Manual Annotation, Crowd-Coding, Dictionary Approaches, and Machine Learning Algorithms. Communication Methods and Measures 15:2, pages 121-140.
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Kohei Watanabe. (2021) Latent Semantic Scaling: A Semisupervised Text Analysis Technique for New Domains and Languages. Communication Methods and Measures 15:2, pages 81-102.
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Akın Özçift, Kamil Akarsu, Fatma Yumuk & Cevhernur Söylemez. (2021) Advancing natural language processing (NLP) applications of morphologically rich languages with bidirectional encoder representations from transformers (BERT): an empirical case study for Turkish. Automatika 62:2, pages 226-238.
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Eran Amsalem, Yair Fogel-Dror, Shaul R. Shenhav & Tamir Sheafer. (2020) Fine-Grained Analysis of Diversity Levels in the News. Communication Methods and Measures 14:4, pages 266-284.
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Chung-Hong Chan, Jing Zeng, Hartmut Wessler, Marc Jungblut, Kasper Welbers, Joseph W Bajjalieh, Wouter van Atteveldt & Scott L. Althaus. (2020) Reproducible Extraction of Cross-lingual Topics (rectr). Communication Methods and Measures 14:4, pages 285-305.
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Christian Baden, Neta Kligler-Vilenchik & Moran Yarchi. (2020) Hybrid Content Analysis: Toward a Strategy for the Theory-driven, Computer-assisted Classification of Large Text Corpora. Communication Methods and Measures 14:3, pages 165-183.
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Frederik De Grove, Kristof Boghe & Lieven De Marez. (2020) (What) Can Journalism Studies Learn from Supervised Machine Learning?. Journalism Studies 21:7, pages 912-927.
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Mark Boukes, Bob van de Velde, Theo Araujo & Rens Vliegenthart. (2020) What’s the Tone? Easy Doesn’t Do It: Analyzing Performance and Agreement Between Off-the-Shelf Sentiment Analysis Tools. Communication Methods and Measures 14:2, pages 83-104.
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Resul Umit & Katrin Auel. (2020) Divergent preferences and legislative speeches on Brexit. Journal of Elections, Public Opinion and Parties 30:2, pages 202-220.
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Jakob-Moritz Eberl, Petro Tolochko, Pablo Jost, Tobias Heidenreich & Hajo G. Boomgaarden. (2020) What’s in a post? How sentiment and issue salience affect users’ emotional reactions on Facebook. Journal of Information Technology & Politics 17:1, pages 48-65.
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Yair Fogel-Dror, Shaul R. Shenhav, Tamir Sheafer & Wouter Van Atteveldt. (2019) Role-based Association of Verbs, Actions, and Sentiments with Entities in Political Discourse. Communication Methods and Measures 13:2, pages 69-82.
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Wouter van Atteveldt & Tai-Quan Peng. (2018) When Communication Meets Computation: Opportunities, Challenges, and Pitfalls in Computational Communication Science. Communication Methods and Measures 12:2-3, pages 81-92.
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Jenna Wong, Mara Murray Horwitz, Li Zhou & Sengwee Toh. (2018) Using Machine Learning to Identify Health Outcomes from Electronic Health Record Data. Current Epidemiology Reports 5:4, pages 331-342.
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