An Account of Opinion Implicatures

While previous sentiment analysis research has concentrated on the interpretation of explicitly stated opinions and attitudes, this work initiates the computational study of a type of opinion implicature (i.e., opinion-oriented inference) in text. This paper described a rule-based framework for representing and analyzing opinion implicatures which we hope will contribute to deeper automatic interpretation of subjective language. In the course of understanding implicatures, the system recognizes implicit sentiments (and beliefs) toward various events and entities in the sentence, often attributed to different sources (holders) and of mixed polarities; thus, it produces a richer interpretation than is typical in opinion analysis.Comment: 50 Pages. Submitted to the journal, Language Resources and Evaluatio

‘Super disabilities’ vs ‘Disabilities’?:Theorizing the role of ableism in (mis)representational mythology of disability in the marketplace

People with disabilities (PWD) constitute one of the largest minority groups with one in five people worldwide having a disability. While recognition and inclusion of this group in the marketplace has seen improvement, the effects of (mis)representation of PWD in shaping the discourse on fostering marketplace inclusion of socially marginalized consumers remain little understood. Although effects of misrepresentation (e.g., idealized, exoticized or selective representation) on inclusion/exclusion perceptions and cognitions has received attention in the context of ethnic/racial groups, the world of disability has been largely neglected. By extending the theory of ableism into the context of PWD representation and applying it to the analysis of the We’re the Superhumans advertisement developed for the Rio 2016 Paralympic Games, this paper examines the relationship between the (mis)representation and the inclusion/exclusion discourse. By uncovering that PWD misrepresentations can partially mask and/or redress the root causes of exclusion experienced by PWD in their lived realities, it contributes to the research agenda on the transformative role of consumption cultures perpetuating harmful, exclusionary social perceptions of marginalized groups versus contributing to advancement of their inclusion

Symbolic representation of Tun Dr Mahathir: visual analysis of a Malaysian short film

The fragmented frames of a short film which comprise still images and signs can be visually explored in the representation of timing. The significance of such a visual representation can lead to the formation of synchronised discursive structures that reflect upon political and social time summons in the past, present and future. The issue is that the political and social agendas mapped with ideas of a pre-election campaign and synchronised with time summons may indirectly provoke viewers’ perception of a social actor through semiotic implications. Using a single component framework consisting of Kress and van Leeuwen’s (2006) grammar of visual design, representational and viewer network and Hall’s (2006) reception theory, this study explores the way agency is targeted visually towards the idea of a political change with pre-election sentiments of a prime minister. On one hand, through the choice of images Tun Dr Mahathir’s past political successes are symbolically represented. On the other hand, he is signified with message of ‘hope’ for a better future to his country and nation

Computing the Affective-Aesthetic Potential of Literary Texts

In this paper, we compute the affective-aesthetic potential (AAP) of literary texts by using a simple sentiment analysis tool called SentiArt. In contrast to other established tools, SentiArt is based on publicly available vector space models (VSMs) and requires no emotional dictionary, thus making it applicable in any language for which VSMs have been made available (>150 so far) and avoiding issues of low coverage. In a first study, the AAP values of all words of a widely used lexical databank for German were computed and the VSM’s ability in representing concrete and more abstract semantic concepts was demonstrated. In a second study, SentiArt was used to predict ~2800 human word valence ratings and shown to have a high predictive accuracy (R2 > 0.5, p < 0.0001). A third study tested the validity of SentiArt in predicting emotional states over (narrative) time using human liking ratings from reading a story. Again, the predictive accuracy was highly significant: R2adj = 0.46, p < 0.0001, establishing the SentiArt tool as a promising candidate for lexical sentiment analyses at both the micro- and macrolevels, i.e., short and long literary materials. Possibilities and limitations of lexical VSM-based sentiment analyses of diverse complex literary texts are discussed in the light of these results

Beyond the Model Rules: The Place of Examples in Legal Ethics

The Model Rules of Professional Conduct defined the agenda for the post- Watergate renaissance in legal ethics. While there had been some form of codified precepts for American lawyers since at least 1908, Watergate inspired a desire to clean up a disgraced profession. The American Bar Association (ABA) promulgated the Model Rules; law schools instituted mandatory courses; and scholars debated and analyzed the new Model Rules. The organized bar devoted much time and attention to developing these guidelines. The mainstream media covered both the bar\u27s original efforts and the subsequent adoption of the Model Rules by particular jurisdictions. Today, forty-three American jurisdictions have adopted ethics guidelines based closely on the Model Rules

(UN)WELCOME TO AMERICA: A CRITICAL DISCOURSE ANALYSIS OF ANTI-IMMIGRANT RHETORIC IN TRUMP’S SPEECHES AND CONSERVATIVE MAINSTREAM MEDIA

This project makes the empirical assertion that U.S. President Donald Trump and conservative news media outlets contribute to a national narrative of xenophobia that frames immigrants, particularly those of color, as parasitic and dangerous to the American way of life. Through this study, I assert that the use of demagogic and dehumanizing language along with more subtle discursive strategies, such as positive representation of ‘us’, negative representation of ‘them,’ and metaphorical constructions are being used to stoke fear and anti-immigrant sentiment and to strip individuals of their humanity for the purpose of rendering them unworthy of dignity and of the same rights and benefits as those to which groups considered insiders and ‘real Americans’ are entitled. Through the lens of Critical Discourse Analysis and Corpus Linguistics, I analyze a collection of transcriptions selected from among 100+ speeches, addresses and remarks delivered by Donald Trump both before and after the 2016 U.S. Presidential Elections, along with a set of ten news stories featuring issues surrounding immigration collected from FoxNews.com, Breitbart.com, and Bill O’Reilly.com. Concordancing software is used to reveal and quantify discursive patterns that contribute to this national narrative of xenophobia

Web 2.0 and destination marketing: current trends and future directions

Over the last decade, destination marketers and Destination Marketing Organizations (DMOs) have increasingly invested in Web 2.0 technologies as a cost-effective means of promoting destinations online, in the face of drastic marketing budgets cuts. Recent scholarly and industry research has emphasized that Web 2.0 plays an increasing role in destination marketing. However, no comprehensive appraisal of this research area has been conducted so far. To address this gap, this study conducts a quantitative literature review to examine the extent to which Web 2.0 features in destination marketing research that was published until December 2019, by identifying research topics, gaps and future directions, and designing a theory-driven agenda for future research. The study’s findings indicate an increase in scholarly literature revolving around the adoption and use of Web 2.0 for destination marketing purposes. However, the emerging research field is fragmented in scope and displays several gaps. Most of the studies are descriptive in nature and a strong overarching conceptual framework that might help identify critical destination marketing problems linked to Web 2.0 technologies is missing