Unraveling Media Perspectives: A Comprehensive Methodology Combining Large Language Models, Topic Modeling, Sentiment Analysis, and Ontology Learning to Analyse Media Bias | Paper Citation Record

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This paper cites International Journal on Digital Libraries 20(4), 391–415 (2019) https://doi.org/10.1007/ s00799-018-0261-y.

Unraveling Media Perspectives: A Comprehensive Methodology Combining Large Language Models, Topic Modeling, Sentiment Analysis, and Ontology Learning to Analyse Media Bias International Journal on Digital Libraries 20(4), 391–415 (2019) https://doi.org/10.1007/ s00799-018-0261-y

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Unraveling Media Perspectives: A Comprehensive Methodology Combining Large Language Models, Topic Modeling, Sentiment Analysis, and Ontology Learning to Analyse Media Bias Refugee Crisis

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Unraveling Media Perspectives: A Comprehensive Methodology Combining Large Language Models, Topic Modeling, Sentiment Analysis, and Ontology Learning to Analyse Media Bias Machine-Learning media bias

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Unraveling Media Perspectives: A Comprehensive Methodology Combining Large Language Models, Topic Modeling, Sentiment Analysis, and Ontology Learning to Analyse Media Bias Conference on Human Factors in Comput- ing Systems - Proceedings, 443–452 (2009) https://doi.org/10.1145/1518701

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Unraveling Media Perspectives: A Comprehensive Methodology Combining Large Language Models, Topic Modeling, Sentiment Analysis, and Ontology Learning to Analyse Media Bias 2022.100064 47

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This paper cites Journal of Computational Social Science 6(1), 289–313 (2022) https://doi.org/10.1007/ s42001-022-00196-2.

Unraveling Media Perspectives: A Comprehensive Methodology Combining Large Language Models, Topic Modeling, Sentiment Analysis, and Ontology Learning to Analyse Media Bias Journal of Computational Social Science 6(1), 289–313 (2022) https://doi.org/10.1007/ s42001-022-00196-2

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Unraveling Media Perspectives: A Comprehensive Methodology Combining Large Language Models, Topic Modeling, Sentiment Analysis, and Ontology Learning to Analyse Media Bias In: Handbook of Media Economics , pp

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Unraveling Media Perspectives: A Comprehensive Methodology Combining Large Language Models, Topic Modeling, Sentiment Analysis, and Ontology Learning to Analyse Media Bias Communications of the ACM 60(9), 65–71 (2017) https://doi.org/10

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Unraveling Media Perspectives: A Comprehensive Methodology Combining Large Language Models, Topic Modeling, Sentiment Analysis, and Ontology Learning to Analyse Media Bias Journal of Communication 50(4), 133–156 (2000) https://doi.org/10.1111/j

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Unraveling Media Perspectives: A Comprehensive Methodology Combining Large Language Models, Topic Modeling, Sentiment Analysis, and Ontology Learning to Analyse Media Bias Technical report, National Bureau of Economic Research, Cambridge, MA (oct 2002)

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Unraveling Media Perspectives: A Comprehensive Methodology Combining Large Language Models, Topic Modeling, Sentiment Analysis, and Ontology Learning to Analyse Media Bias Attention Is All You Need

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Unraveling Media Perspectives: A Comprehensive Methodology Combining Large Language Models, Topic Modeling, Sentiment Analysis, and Ontology Learning to Analyse Media Bias In: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp

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Unraveling Media Perspectives: A Comprehensive Methodology Combining Large Language Models, Topic Modeling, Sentiment Analysis, and Ontology Learning to Analyse Media Bias In: Proceedings of the 60th An- nual Meeting of the Association for Computational Linguistics: Student Re- search Workshop, pp

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Unraveling Media Perspectives: A Comprehensive Methodology Combining Large Language Models, Topic Modeling, Sentiment Analysis, and Ontology Learning to Analyse Media Bias In:Proceedings of the 30th ACM International Conference on Information & Knowledge Management, pp

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Unraveling Media Perspectives: A Comprehensive Methodology Combining Large Language Models, Topic Modeling, Sentiment Analysis, and Ontology Learning to Analyse Media Bias In:Proceedings of the 11th International Conference on Natural Language Generation, pp

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Unraveling Media Perspectives: A Comprehensive Methodology Combining Large Language Models, Topic Modeling, Sentiment Analysis, and Ontology Learning to Analyse Media Bias Unresolved cited work

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Unraveling Media Perspectives: A Comprehensive Methodology Combining Large Language Models, Topic Modeling, Sentiment Analysis, and Ontology Learning to Analyse Media Bias Exploiting Transformer-based Multitask Learning for the Detection of Media Bias in News Articles

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Unraveling Media Perspectives: A Comprehensive Methodology Combining Large Language Models, Topic Modeling, Sentiment Analysis, and Ontology Learning to Analyse Media Bias Selection Bias in News Coverage: Learning it, Fighting it

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Unraveling Media Perspectives: A Comprehensive Methodology Combining Large Language Models, Topic Modeling, Sentiment Analysis, and Ontology Learning to Analyse Media Bias Multimodal Learning with Transformers: A Survey

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Unraveling Media Perspectives: A Comprehensive Methodology Combining Large Language Models, Topic Modeling, Sentiment Analysis, and Ontology Learning to Analyse Media Bias Expert Systems with Applications110, 298–310 (2018) https://doi.org/10.1016/ j.eswa.2018.06.022

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Unraveling Media Perspectives: A Comprehensive Methodology Combining Large Language Models, Topic Modeling, Sentiment Analysis, and Ontology Learning to Analyse Media Bias In:RepL4NLP 2021 - 6th Workshop on Representation Learning for NLP, Proceedings of the Workshop (2021)

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Unraveling Media Perspectives: A Comprehensive Methodology Combining Large Language Models, Topic Modeling, Sentiment Analysis, and Ontology Learning to Analyse Media Bias https://pypi.org/ project/spacy-language-detection/ Accessed 2024-02-17

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Unraveling Media Perspectives: A Comprehensive Methodology Combining Large Language Models, Topic Modeling, Sentiment Analysis, and Ontology Learning to Analyse Media Bias IEEE Access7, 65263–65276 (2019) https://doi.org/10.1109/ACCESS

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Unraveling Media Perspectives: A Comprehensive Methodology Combining Large Language Models, Topic Modeling, Sentiment Analysis, and Ontology Learning to Analyse Media Bias BERTopic: Neural topic modeling with a class-based TF-IDF procedure

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Unraveling Media Perspectives: A Comprehensive Methodology Combining Large Language Models, Topic Modeling, Sentiment Analysis, and Ontology Learning to Analyse Media Bias https://maartengr.github.io/ BERTopic/algorithm/algorithm.html Accessed 2024-01-19

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Unraveling Media Perspectives: A Comprehensive Methodology Combining Large Language Models, Topic Modeling, Sentiment Analysis, and Ontology Learning to Analyse Media Bias UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

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Unraveling Media Perspectives: A Comprehensive Methodology Combining Large Language Models, Topic Modeling, Sentiment Analysis, and Ontology Learning to Analyse Media Bias https:// scikit-learn.org/stable/modules/generated/sklearn.feature{_}extraction.text

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Unraveling Media Perspectives: A Comprehensive Methodology Combining Large Language Models, Topic Modeling, Sentiment Analysis, and Ontology Learning to Analyse Media Bias https://maartengr.github.io/BERTopic/ api/bertopic.html Accessed 2024-01-18

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Unraveling Media Perspectives: A Comprehensive Methodology Combining Large Language Models, Topic Modeling, Sentiment Analysis, and Ontology Learning to Analyse Media Bias RoBERTa: A Robustly Optimized BERT Pretraining Approach

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Unraveling Media Perspectives: A Comprehensive Methodology Combining Large Language Models, Topic Modeling, Sentiment Analysis, and Ontology Learning to Analyse Media Bias https://spacy.io/universe/project/ spacy-textblob Accessed 2024-02-17

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Unraveling Media Perspectives: A Comprehensive Methodology Combining Large Language Models, Topic Modeling, Sentiment Analysis, and Ontology Learning to Analyse Media Bias BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

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Unraveling Media Perspectives: A Comprehensive Methodology Combining Large Language Models, Topic Modeling, Sentiment Analysis, and Ontology Learning to Analyse Media Bias Do CoNLL-2003 Named Entity Taggers Still Work Well in 2023?

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Unraveling Media Perspectives: A Comprehensive Methodology Combining Large Language Models, Topic Modeling, Sentiment Analysis, and Ontology Learning to Analyse Media Bias Location reference recognition from texts: A survey and comparison

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Unraveling Media Perspectives: A Comprehensive Methodology Combining Large Language Models, Topic Modeling, Sentiment Analysis, and Ontology Learning to Analyse Media Bias Ontologies in Digital Twins: A Systematic Literature Review

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Unraveling Media Perspectives: A Comprehensive Methodology Combining Large Language Models, Topic Modeling, Sentiment Analysis, and Ontology Learning to Analyse Media Bias LLMs4OL: Large Language Models for Ontology Learning

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This paper cites an unresolved cited work.

Unraveling Media Perspectives: A Comprehensive Methodology Combining Large Language Models, Topic Modeling, Sentiment Analysis, and Ontology Learning to Analyse Media Bias Unresolved cited work

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-16T04:15:39.612625Z

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Observation a4bab89a-3d89-4935-95d6-511bbb55cf99 · outbound

This paper cites an unresolved cited work.

Unraveling Media Perspectives: A Comprehensive Methodology Combining Large Language Models, Topic Modeling, Sentiment Analysis, and Ontology Learning to Analyse Media Bias Unresolved cited work

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-16T04:15:39.618743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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