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Assessing Together the Trends in Newspaper Topics and User Opinions: A Co-Evolutionary Approach

Assessing Together the Trends in Newspaper Topics and User Opinions: A Co-Evolutionary Approach

Elise Noga-Hartmann, Dimitris Kotzinos
Copyright: © 2022 |Pages: 23
ISBN13: 9781799895947|ISBN10: 1799895947|ISBN13 Softcover: 9781799895954|EISBN13: 9781799895961
DOI: 10.4018/978-1-7998-9594-7.ch014
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MLA

Noga-Hartmann, Elise, and Dimitris Kotzinos. "Assessing Together the Trends in Newspaper Topics and User Opinions: A Co-Evolutionary Approach." Handbook of Research on Opinion Mining and Text Analytics on Literary Works and Social Media, edited by Pantea Keikhosrokiani and Moussa Pourya Asl, IGI Global, 2022, pp. 348-370. https://doi.org/10.4018/978-1-7998-9594-7.ch014

APA

Noga-Hartmann, E. & Kotzinos, D. (2022). Assessing Together the Trends in Newspaper Topics and User Opinions: A Co-Evolutionary Approach. In P. Keikhosrokiani & M. Pourya Asl (Eds.), Handbook of Research on Opinion Mining and Text Analytics on Literary Works and Social Media (pp. 348-370). IGI Global. https://doi.org/10.4018/978-1-7998-9594-7.ch014

Chicago

Noga-Hartmann, Elise, and Dimitris Kotzinos. "Assessing Together the Trends in Newspaper Topics and User Opinions: A Co-Evolutionary Approach." In Handbook of Research on Opinion Mining and Text Analytics on Literary Works and Social Media, edited by Pantea Keikhosrokiani and Moussa Pourya Asl, 348-370. Hershey, PA: IGI Global, 2022. https://doi.org/10.4018/978-1-7998-9594-7.ch014

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Abstract

This chapter proposes and explores all features of a model capable of capturing trends within large corpora of texts. Not only are trends assessed through a numerical index, but they are displayed alongside rhetorical and attitudinal information on all topics concerned for all relevant epochs. This way, trend evolutions can be analyzed in the light of wordings and thinking evolutions, thus allowing for a co-evolutionary approach to trend assessing. Each and every step is methodologically explained, as well as the interactions between them. Variations and adaptations are also discussed for a greater adaptability of the model to all use cases.

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