ABSTRACT
To alleviate the impact of the Covid-19 pandemic on tourism, tourist facilities in Bali are informing visitors of the relevant health protocols, using posters to describe the appropriate behaviours. Using critical discourse analysis, this study examines the microstructure of the texts in these posters to identify their semantic, syntactic, lexical, and rhetorical elements. The study findings show that the semantic aspects consist of background, intention, and detail. The syntactic elements involve coherence and the use of the pronouns 'you' and 'we', and of the imperative, and the declarative. The lexical aspects include abbreviations and vocabulary, related to the health protocol. The textual messages are delivered in official language, supported by pictures and photographs.
ABSTRACT
This article discusses lexical and semantic changes during the COVID-19 pandemic. In this article, we describe semantic shifts, new concepts, and neologisms associated with the COVID-19 pandemic based on the results of an associative survey. A total of 142 respondents voluntarily participated in our online survey. The term 'coronavirus' was taken as a stimulus word. Respondents had to answer what colour and number the word 'coronavirus' is associated with. The results of the study show that the stimulus 'coronavirus' in the minds of people activates the colours red, green, black, blue, yellow and very weakly causes associations with brown, white, gold, purple, colourless, as well as the frequency of the number 19. Additionally, according to the results of the study, it can be said that during the COVID-19 pandemic, negative meanings of colourative vocabulary were actualized (except green, because this colour began to symbolize safety), and numbers and some new concepts that have a nonpositive colouring appeared.
ABSTRACT
In recent months, many governments have announced COVID-19 vaccination programs and plans to help end the crises the world has been facing since the emergence of the coronavirus pandemic. In Saudi Arabia, the Ministry of Health called for citizens and residents to take up the vaccine as an essential step to return life to normal. However, the take-up calls were made in the face of profound disagreements on social media platforms and online networks about the value and efficacy of the vaccines. Thus, this study seeks to explore the responses of Saudi citizens to the COVID-19 vaccines and their sentiments about being vaccinated using opinion mining methods to analyze data extracted from Twitter, the most widely used social media network in Saudi Arabia. A corpus of 37,467 tweets was built. Vector space classification (VSC) methods were used to group and categorize the selected tweets based on their linguistic content, classifying the attitudes and responses of the users into three defined categories: positive, negative, and neutral. The lexical semantic properties of the posts show a prevalence of negative responses. This indicates that health departments need to ensure citizens are equipped with accurate, evidence-based information and key facts about the COVID-19 vaccines to help them make appropriate decisions when it comes to being vaccinated. Although the study is limited to the analysis of attitudes of people to the COVID-19 vaccines in Saudi Arabia, it has clear implications for the application of opinion mining using computational linguistic methods in Arabic.
ABSTRACT
L'objectif de cette contribution est de présenter quelques pistes méthodologiques pour des analyses discursives et comparatives par le truchement des cadres sémantiques (frames). Sur la base du discours médiatique français et allemand développé a l'occasion de la pandémie de COVID-19 sont montrées des étapes successives d'une analyse qui se fonde sur deux approches distinctes des cadres qui sont mises en perspective au sein d'un modele intégratif. Dans un premier temps, au moyen de la ressource sémantique FrameNet, les cadres évoqués par des verbes sont examinés (démarche descendante) ;dans un deuxieme temps, la focale est mise sur les cadres évoqués par des éléments nominaux (démarche ascendante).Alternate :Ziel des Beitrags ist es, einige Überlegungen hinsichtlich diskursiv-vergleichender frameanalytischer Untersuchungsmöglichkeiten aufzuzeigen. Am Beispiel der französischen und deutschen Corona-Berichterstattung werden - im Hinblick auf diese Mediendiskurse - aufeinander aufbauende Analyseschritte vorgestellt, die sich auf zwei verschiedene Frame-Ansätze beziehen und im Rahmen eines integrativen Modells miteinander verzahnt werden. Zunächst werden prädikative Verb-Frames vor dem Hintergrund der semantischen Ressource FrameNet untersucht (top-down). In einem nächsten Schritt richtet sich der Fokus auf von Nomen aufgerufene (nominale) Konzeptframes (bottom-up).Alternate :The aim of this contribution is to present some methodological considerations within a comparative and discursive frame-based analysis. Using the example of the current French and German Covid-19 media coverage (media discourse), successive steps of analysis, which are based on two different frame approaches, will be connected in an integrative model. First, frames that are evoked by verbs will be analyzed using the lexical-semantic resource FrameNet (top-down). Second, the focus will be placed on frames evoked by nouns (bottom-up).