1,721,299 research outputs found
sj-docx-1-dhj-10.1177_20552076231171496 - Supplemental material for Dynamics of emotion trends in Canadian Twitter users during COVID-19 confinement in relation to caseloads: Artificial intelligence-based emotion detection approach
No full textSupplemental material, sj-docx-1-dhj-10.1177_20552076231171496 for Dynamics of emotion trends in Canadian Twitter users during COVID-19 confinement in relation to caseloads: Artificial intelligence-based emotion detection approach by Swarna Weerasinghe, Oladapo Oyebode, Rita Orji and Stan Matwin in DIGITAL HEALTH</p
Author and Language Profiling of Short Texts
No full textOver the past couple of decades, the advancement and growth of digital information and communication technologies have resulted in information explosion and these technologies are profoundly changing all aspects of modern society. The popularization of the Internet and mobile technologies fueled the rise of social media, providing technological platforms for information spreading, content generation, and interactive communication, which has been contributing to the global data growth. Additionally, social media have become one of the main outlets for obtaining information about latest news, people, businesses, services, etc. The research on it has gained traction having in mind the growing interest in the applications and related technical and social science challenges and opportunities. One of the big challenges of the widespread online textual data is the structure and size. Structurally, it is not in proper grammatical form, has slang, emoticons, improper sentences, which is the standard way we communicate daily. Size-wise, the text is usually very short. However, this is not only the case with the online data; medical notes, open-ended survey questions, various old-school maintenance reports are just some of the examples. We particularly focus on the problem of author profiling on short texts in three different domains. Automatic author profiling is a set of methods to determine an author's (or group of authors') gender, age, native language, personality type and similar, which can be useful in different application contexts such as forensics, security, marketing, product personalisation, socio-demographic analyses and so on. In the first task, we explore fine-grained language dialect/variety identification and propose a new feature weighting scheme. In the second task, we work on bot detection on social media and propose a simple, but efficient method based on statistical diversity measures. In the third task, we present some interesting findings on topic modelling in relation to author on open-ended survey questions from the Canadian Longitudinal Study on Aging (CLSA)
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Get PDF“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
Get PDFWe 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
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