1,721,031 research outputs found
Corpus Linguistics and the Appraisal Framework for Retrieving Emotion and Stance – The Case of Samsung’s and Apple’s Facebook Pages
No full textThe study investigated the situated linguistic interactions of the users of the Samsung and Apple Facebook pages, with a focus on the attitudinal/affectual values they displayed towards these brands and their products, in a comparative perspective. Following Corpus Linguistics (CL) methodology, two corpora were created, named AppleCorpus (7337 tokens) and SamsungCorpus (5216 tokens), consisting in the wall posts on Apple Inc. and Samsung Mobile pages collected over a period of four days. These corpora were scrutinized both in a CL quantitative perspective and in a qualitative perspective by using the resources of the Appraisal Framework (AF) for discourse analysis to better identifying these social network users’ stance and attitudinal positioning. The findings of this pilot study showed that Samsung’s users display a more positive attitude toward the brand than Apple’s users. Results are discussed in the text
Towards Socially and Emotionally Believable ICT Interfaces
Full text linkIn order to realize an artificial intelligence focused on human needs, it is necessary to identify the interactional characteristics that describe human mood, social behavior, beliefs, and experiences. The cross-modal analysis of communicative macro-signals represents the first step in this direction. The second step requires the definition of adequate mathematical representations of these signals to validate them perceptively (on the human side) and computationally
Joint use of eddy current imaging and fuzzy similarities to assess the integrity of steel plates
No full textSteel plates bi-axially loaded are characterized by mechanical deformations whose 2D image representations are very difficult to achieve. In this work, the authors propose an innovative approach based on eddy current techniques for obtaining 2D electrical maps to assess the mechanical integrity of a steel plate. The procedure, also exploiting fuzzy similarity computations, translates the problem of the assessment of the mechanical integrity of a steel plate into a suitable classification problem. The results obtained by this proposed procedure show performances comparable to those provided by well-established soft computing approaches with a higher computational complexity
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
Identification of Plasma Equilibria in ITER from Magnetic Measurements via Functional Parameterization and Artificial Neural Networks
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