1,721,043 research outputs found
Emotional Text Mining: Customer profiling in brand management
No full textThe widespread use of the Internet and the constant increase in users of social media platforms has made a large amount of textual data available. This represents a valuable source of information about the changes in people's opinions and feelings. This paper presents the application of Emotional Text Mining (ETM) in the field of brand management. ETM is an unsupervised procedure aiming to profile social media users. It is based on a bottom-up approach to classify unstructured data for the identification of social media users’ representations and sentiments about a topic. It is a fast and simple procedure to extract meaningful information from a large collection of texts. As customer profiling is relevant for brand management, we illustrate a business application of ETM on Twitter messages concerning a well-known sportswear brand in order to show the potential of this procedure, highlighting the characteristics of Twitter user communities in terms of product preferences, representations, and sentiments
Validità di una misura non tradizionale della mortalità
No full textMain aims of this study are the demonstration of the effectiveness of a non-weighted indicator of mortality: the total mortality rate and its calculation for the Italian population using the data contained in the cohort life tables calculated for Italy for the cohorts 1872-1917. The construction of a non-weighted (synthetic) indicator of mortality has not been matter of detailed discussion in the scientific literature and, as a matter of fact, there’s only a very limited number of publications on this subject (Sardon, 1993 and 1998; Termote, 1998). We would like to focus on this indicator for its interesting features. First, it is additive in the sense that the application of a non-weighted sum procedure allows the local decomposition of the index. Moreover, non-weighted indicators are sensitive to the level of disaggregation by age, unlike the weighted ones.
Being, above all, a theoretical study, the main result of the present work is to demonstrate that the total mortality rate has a key advantage over similar indicators based on a weighted sum, because in space/temporal comparison, it can neutralize the bias resulting from dynamic factors, like age−specific lifestyles resulting in different mortality rates which, as emphasized in the literature, change over time and space. The adoption of this procedures can neutralize the homogenization effect, a central feature of all weighted sum procedures
Promethea, una via psichedelica al mito
No full textNell'ambito del volume su mito e fumetto contemporaneo, il contributo esamina l'uso del mito di Prometeo da parte dell'autore inglese Alan Moore e il modo in cui egli decostruisce il personaggio, mantenendone inalterate alcune caratteristiche ma apportando altrettanti cambiamenti, non ultimo il cambiamento di sesso
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
Leveraging Deep Learning models to assess the temporal validity of Emotional Text Mining procedures
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