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| Link zu diesem Datensatz | https://d-nb.info/1343651646 |
| Art des Inhalts | Konferenzschrift |
| Titel | New Frontiers in Textual Data Analysis / edited by Giuseppe Giordano, Michelangelo Misuraca |
| Person(en) |
Giordano, Giuseppe (Herausgeber) Misuraca, Michelangelo (Herausgeber) |
| Organisation(en) | SpringerLink (Online service) (Sonstige) |
| Ausgabe | 1st ed. 2024 |
| Verlag | Cham : Springer Nature Switzerland, Imprint: Springer |
| Zeitliche Einordnung | Erscheinungsdatum: 2024 |
| Umfang/Format | Online-Ressource, XI, 396 p. 129 illus., 99 illus. in color. : online resource. |
| Andere Ausgabe(n) |
Printed edition:: ISBN: 978-3-031-55916-7 Printed edition:: ISBN: 978-3-031-55918-1 |
| Inhalt | Part I Statistical methods for Textual Data Analysis -- Statistical and deep learning methods for a linguistic and literary analysis -- Statistical profiling of Hybrid CNN-SVM effectiveness -- EMOtivo: a classifier for emotion detection of Italian texts trained on a self-labelled corpus -- Community detection and semantic analysis on Twitter. The case of No greenpass and No vax movement in Italy -- Evaluating customer satisfaction through Amazon reviews analysis: the Bluetooth earphones example -- Symmetric Non-Negative Matrix Factorization for analysing the scientific production on day surgery -- Social Media Effects on Sales: consumer sentiment in a state-space model -- Part II Advances in language processing -- Quality enhancements in experimental statistics: the Italian Social Mood on Economy Index -- A Strategy to Identify the Peculiarity of a Lexicon in the Analysis of a Corpus -- Neologisms and estrangement in a corpus of science-fiction -- Automatic retrieving ofderived Quechua verbs -- A Stylometric profile of Carmen Mola in the gender of ‘her’ authorial persona and the contribution of each author behind the pseudonym -- Automatic Genre Classification of Czech Texts Based on Syntactic Functions -- Deep learning as an aid to text mining in the choice of texts to lemmatise for a comparison corpus: a stylistic study of Peter Damian’s letters -- Dialogic Process Analysis in Natural Language Processing: an attempt to describe sense of reality and meaning of textdata -- Multi-channel Convolutional Transformer and intertextuality: a Latin case study -- Part III Emotional and Sentiment Analyses -- Opinion Mining Hybrid Approach. An application to investigate the users’ political positions in disinformative echo chambers -- Prediction of Italians’ sentiment during the first COVID-19 lockdown through a weighted random forest balanced with SMOTE algorithm -- Sentiment analysis on social network data: the Regional Index RETI -- Integrating text mining and hermeneutic analysis: the case of international volunteering biographies -- Emotional text mining and multilingual corpora: The analysis of #Covid-19 on Twitter -- Emotional Markers as Indicators of Investor Attitudes: EDA Sub - Process Proposal -- “The Spanish Model”: an analysis of Spanish culture in Organ Donation through the Emotional Text Mining -- Part IV Textual Data Analysis in action -- Comparative analysis of national reports: the case of the Erasmus+ ECOLHE Project -- Action Research in Psychology: the case of adoptive family -- Uncovering Uncertainty in Narrative Economics: A Semantic Search Approach -- Italian Institutional communication in pandemic period: a chronological analysis of Prime Minister speeches -- What about corruption? A text analytics method for a scoping literature review -- The stability of the discursive framework of the Ministry of Foreign Affairs tested by textometry -- Statistical analysis of textual data for longitudinal analysis. A studyon postgraduate course participants' reflections -- Third Mission & VQR 2015-2019: A Bigram’s Story |
| Persistent Identifier |
URN: urn:nbn:de:101:1-2410010412137.938811575449 DOI: 10.1007/978-3-031-55917-4 |
| URL | https://doi.org/10.1007/978-3-031-55917-4 |
| ISBN/Einband/Preis | 978-3-031-55917-4 |
| Sprache(n) | Englisch (eng) |
| Beziehungen | Studies in Classification, Data Analysis, and Knowledge Organization |
| Sachgruppe(n) | 020 Bibliotheks- und Informationswissenschaft |
| Online-Zugriff | Archivobjekt öffnen |
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