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Titlebook: New Frontiers in Textual Data Analysis; Giuseppe Giordano,Michelangelo Misuraca Conference proceedings 2024 The Editor(s) (if applicable)

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Maria Gabriella Grassia,Marina Marino,Rocco Mazza,Agostino Stavolo,Salvatore Massangand definitions of transmedia. It is a valuable resource for scholars and students wishing to expand their engagement with the theory and practice of transmedia storytelling..Chapters “Chapter 1-Introduction 978-981-15-7859-5978-981-15-7857-1Series ISSN 2662-7922 Series E-ISSN 2662-7930
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Valérie Thon,Laurent Vanni,Dominique Longrée einzelmediale, sondern insbesondere als transmediale Phänomene zu betrachten und damit den interdisziplinären Austausch über Genre-Strukturen zu fördern, deren Dynamik längst mediale Grenzen überschreitet. Die unterschiedlichen disziplinären Perspektiven sollen dadurch nicht aufgehoben, sondern vielmehr in produktiven Dialog gebracht werden.
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Miroslav Kubát,Ján Mačutek,Radek Čech,Michaela Nogolováler Birger Langkjær ergänzt diese verhältnismäßig simple Taxonomie wiederum um eine Kategorie „genrespezifische[r] Formen und Aufgaben des Sounds“ (Langkjær 2010). Diese Überlegungen erscheinen deutlich aussichtsreicher und sollen in der vorliegenden Analyse der filmischen Produktion von Geschichte weiter vertieft werden.
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Statistical Profiling of Hybrid CNN-SVM Effectivenessybrid neural network achieves better overall classification accuracy. The findings of this research prove the effectiveness of hybrid deep neural networks and draw new bridges toward their explainability.
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EMOtivo: A Classifier for Emotion Detection of Italian Texts Trained on a Self-Labelled Corpused both a conceptual framework for assigning the labels and a model for classification. The proposed architecture employs a convolutional layer (CNN) and a long short-term memory (LSTM) layer. The classifier achieved an overall accuracy of 78.9% in accurately classifying 414 out of 525 tweets in the
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Community Detection and Semantic Analysis on Twitter. The Case of “No Green Pass” and “No Vax” Movemhis network to detect communities of users and concepts using a specific two-mode community detection approach. The objective is to identify communities of users expressing different and possibly polarized opinions and concepts within the green pass debate. Subsequently, a Textual Correspondence Ana
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Quality Enhancements in Experimental Statistics: The Italian Social Mood on Economy Indexb-filtered series seem to be more consistent and more related to economy. Concerning the vocabulary, comparisons between the dynamics of the time series, obtained by using two different lexicons, namely, Sentix and DPL, show better results in favor of the latter. More precisely using DPL, we observe
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