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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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樓主: 本義
11#
發(fā)表于 2025-3-23 12:42:20 | 只看該作者
12#
發(fā)表于 2025-3-23 17:50:49 | 只看該作者
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
13#
發(fā)表于 2025-3-23 21:11:14 | 只看該作者
Valérie Thon,Laurent Vanni,Dominique Longrée einzelmediale, sondern insbesondere als transmediale Ph?nomene zu betrachten und damit den interdisziplin?ren Austausch über Genre-Strukturen zu f?rdern, deren Dynamik l?ngst mediale Grenzen überschreitet. Die unterschiedlichen disziplin?ren Perspektiven sollen dadurch nicht aufgehoben, sondern vielmehr in produktiven Dialog gebracht werden.
14#
發(fā)表于 2025-3-24 01:55:06 | 只看該作者
15#
發(fā)表于 2025-3-24 04:30:54 | 只看該作者
16#
發(fā)表于 2025-3-24 09:29:18 | 只看該作者
Miroslav Kubát,Ján Ma?utek,Radek ?ech,Michaela Nogolováler Birger Langkj?r erg?nzt diese verh?ltnism??ig simple Taxonomie wiederum um eine Kategorie ?genrespezifische[r] Formen und Aufgaben des Sounds“ (Langkj?r 2010). Diese überlegungen erscheinen deutlich aussichtsreicher und sollen in der vorliegenden Analyse der filmischen Produktion von Geschichte weiter vertieft werden.
17#
發(fā)表于 2025-3-24 14:21:50 | 只看該作者
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.
18#
發(fā)表于 2025-3-24 18:06:11 | 只看該作者
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
19#
發(fā)表于 2025-3-24 23:02:59 | 只看該作者
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
20#
發(fā)表于 2025-3-24 23:19:08 | 只看該作者
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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