1,721,010 research outputs found
Drawing Elena Ferrante's Profile. Workshop Proceedings, Padova, 7 September 2017
Full text linkElena Ferrante is an internationally acclaimed Italian novelist whose real identity has been kept secret by E/O publishing house for more than 25 years. Owing to her popularity, major Italian and foreign newspapers have long tried to discover her real identity. However, only a few attempts have been made to foster a scientific debate on her work.
In 2016, Arjuna Tuzzi and Michele Cortelazzo led an Italian research team that conducted a preliminary study and collected a well-founded, large corpus of Italian novels comprising 150 works published in the last 30 years by 40 different authors. Moreover, they shared their data with a select group of international experts on authorship attribution, profiling, and analysis of textual data: Maciej Eder and Jan Rybicki (Poland), Patrick Juola (United States), Vittorio Loreto and his research team, Margherita Lalli and Francesca Tria (Italy), George Mikros (Greece), Pierre Ratinaud (France), and Jacques Savoy (Switzerland).
The chapters of this volume report the results of this endeavour that were first presented during the international workshop Drawing Elena Ferrante's Profile in Padua on 7 September 2017 as part of the 3rd IQLA-GIAT Summer School in Quantitative Analysis of Textual Data. The fascinating research findings suggest that Elena Ferrante’s work definitely deserves “many hands” as well as an extensive effort to understand her distinct writing style and the reasons for her worldwide success
Authorship attribution and text clustering in contemporary Italian novels
No full textThe aim of authorship attribution methods is to exploit observable textual features to identify the distinctive traits of an author’s writing style. In quantitative approaches, the problem of authorship attribution is often tackled in terms of the search for a reliable procedure to measure the similarity between texts and for a consistent text clustering method. Among several proposals available in the scientific literature, this new study explores a large corpus of contemporary Italian novels and focusses on a famous case of disputed authorship. The object of the research is Elena Ferrante's work, with a specific focus on the presumed similarity with other novels written by Italian authors from Naples and its surroundings. Although we expected that the authors' geographical origin should play a role in terms of topic selection and linguistic features, results show that regional traits are not particularly relevant: of all the 10 candidates taken into consideration, the only author who can be considered “textually close” to Elena Ferrante is Domenico Starnone
Authorship Attribution and Text Clustering in Contemporary Italian Novels: Does Elena Ferrante’s and Domenico Starnone's regional origin play a role?
No full textThe aim of authorship attribution methods is to exploit observable textual features to identify the distinctive traits of an author’s writing style. In quantitative approaches, the problem of authorship attribution is often tackled in terms of the search for a reliable procedure to measure the similarity between texts and for a consistent text clustering method. Among several proposals available in the scientific literature, this new study explores a large corpus of contemporary Italian novels and focusses on a famous case of disputed authorship. The object of the research is Elena Ferrante's work, with a specific focus on the presumed similarity with other novels written by Italian authors from Naples and its surroundings. Although we expected that the authors' geographical origin should play a role in terms of topic selection and linguistic features, results show that regional traits are not particularly relevant: of all the 10 candidates taken into consideration, the only author who can be considered “textually close” to Elena Ferrante is Domenico Starnone
Introduction: Tracing the History of a Discipline Through Quantitative and Qualitative Analyses of Scientific Literature
No full textTracing the Life Cycle of Ideas in the Humanities and Social Sciences
No full textOffers useful insights to perform quantitative analyses in qualitative environments
Explains how distant reading can be exploited to answer specific research questions
Written in non-technical language to make the discussion accessible to readers without mathematical, computer or statistical background
Big data nelle scienze sociali: una proposta di integrazione del topic modeling nei disegni di ricerca con mixed methods
No full textNegli ultimi anni l’impatto dei big data sulla capacità di prevedere vari fenomeni e sulla conoscenza in generale è stato tale che si è dibattuto sulla possibile “fine della teoria”. La disponibilità di dataset relazionali su larga scala, spesso generati attraverso contenuti pubblicati direttamente dagli utenti sui Social Networking Sites, offre nuove opportunità e solleva al tempo stesso interrogativi e problematiche metodologiche, che la sociologia e le scienze sociali in generale non possono ignorare. Un saggio delle potenzialità di analisi di dati sociali su larga scala è offerto dai modelli probabilistici per l’individuazione dei topic latenti in un corpus testuale, come la latent Dirichlet allocation, applicabili, per esempio, ai contenuti presenti sul sito di micro-blogging Twitter. A partire da queste premesse, il presente contributo illustra una proposta di inquadramento metodologico del topic modeling all’interno di disegni di ricerca basati sui mixed methods, che combinano metodi e tecniche quantitative e qualitative. In particolare, questo lavoro mostra una possibile integrazione di metodi qualitativi in un disegno di ricerca fondato su analisi e algoritmi derivanti da un approccio tipicamente quantitativo. Pur sottolineando i limiti conoscitivi insiti in queste tecniche di analisi, la loro ricaduta sulla ricerca sociale è rilevante e la strada intrapresa non può che favorire una maggiore collaborazione interdisciplinare
It Takes Many Hands to Draw Elena Ferrante’s Profile
No full textElena Ferrante is the pen name of a writer highly successful on the international stage, whose real identity has been kept secret by her publishers, E/O, for more than 25 years. For some time now, her fame and mystery have combined to attract the attention of readers, fans, critics, journalists, and academics all over the world, and various hypotheses have already been advanced as to who the hand behind this nom de plume might be. Elena Ferrante’s work in general, and the question of her anonymity in particular, have been the object of only a limited number of scientific publications, however. Starting from a corpus of 150 novels by 40 different authors selected specifically for this research project, and from the results of previous qualitative and quantitative studies, this contribution contextualizes Elena Ferrante’s work on the panorama of contemporary Italian literature. It also provides further elements to support the hypothesis that, based on what we know now, Domenico Starnone is the writer with the greatest affinity in style and content with the novels signed by Elena Ferrante. The present article also explains why our Italian research group shared our data and preliminary results with international experts on textual data analysis, authorship attribution, and profiling, who worked independently on the same data and added their own contribution to this case study
The Recent History of Statistics: Comparing Temporal Patterns of Word Clusters
Full text linkThe abstracts published by the Journal of the American Statistical Association in the time span 1946–2016 have been examined in order to identify relevant timings in the recent history of statistics and retrieve past and current topics that have drawn the attention of one of the most influential communities of statisticians in the world. The focus is on clusters of words that, over time, share a similar trajectory of occurrences in the issues of the journal and on the effect of different choices in the number of clusters. When arrangements in coarser and finer groupings have been compared and contrasted, an interesting nested structure has emerged. Moreover, results have highlighted the conjoint effect of word cycle synchrony and word popularity, which are two of the most important features to be accounted for by the researcher in reading the output of a curve clustering based on observations of word frequencies from a chronological perspective. The research also shows that a knowledge-based system (a computer-based system that supports human learning, endowed with a knowledge-base, a statistical learning engine and a user interface) is able to achieve an effective representation of abstracts and that many elements of the history of statistics may be gleaned by reading the abstracts of a large number of papers and considering ‘texts as data’
La conciliazione e la definizione delle controversie nei Corecom. Il caso del Corecom Veneto
No full textLo studio è incentrato sull’analisi degli aspetti problematici della procedura di conciliazione e di definizione delle controversie tra utenti ed imprese di telecomunicazione. Como evidenziato anche in dottrina e in giurisprudenza, il meccanismo obbligatorio di ADR qui in esame rivela una complessità e una presenza di situazione controverse forse non ipotizzabili ad una prima lettura. Inoltre, tale complessità coinvolge tutte le fasi delle due procedure: dal significato di obbligatorietà (e dai suoi effetti) all’oggetto della conciliazione, dagli effetti dell’avvenuta conciliazione ai molteplici scenari che si aprono in caso di conciliazione fallita, anche in tema di giurisdizione. Tale disamina fa emergere, peraltro, la grande importanza e utilità pratica della conciliazione (e della definizione delle controversie), sia in termini di ritorno economico sul territorio che di deflazione delle controversie giudiziali. La parte finale è dedicata specificamente al Corecom Veneto, alle modalità con cui ha finora attuato le conciliazioni e ai gravi problemi derivanti dal fatto che, contrariamente a quasi tutte le altre Regioni, il Veneto non si sia ancora dotato delle seconde deleghe, necessarie ad attuare la definizione delle controversie, privando così i suoi cittadini di un essenziale strumento di risoluzione dei conflitti con le imprese di comunicazione
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