Abstract We critically assess mainstream accounting and finance research applying methods from computational linguistics (CL) to study financial discourse. also review common themes innovations in the literature incremental contributions of studies CL over manual content analysis. Key conclusions emerging our analysis are: (a) is behind curve terms generally word sense disambiguation particular; (b) implementation issues mean proposed benefits are often less pronounced than proponents...

Purpose This study explores Greek and Swedish consumers' attitude towards organic food consumption in order to demonstrate possible differences that can be identified based on health ecological consciousness beliefs rather than demographic factors. The examination of an emerging a more mature market allow the authors provide targeted marketing strategies possibly increase both countries. Design/methodology/approach adopt econometric approach analysis consumer behavior relation Sweden Greece....

Abstract The aim of this study is to explore the possibility identifying speaker stance in discourse, provide an analytical resource for it and evaluation level agreement across speakers. We also what extent language users agree about kind stances are expressed natural use or whether their interpretations diverge. In order perform task, a comprehensive cognitive-functional framework ten categories was developed based on previous work literature. A corpus opinionated texts compiled, Brexit...

In this paper, we present a study for the identification of authors' national variety English in texts from social media.In data Facebook and Twitter, information about author's profile is annotated, (US, UK, AUS, CAN, NNS) that each author uses attributed.We tested four feature types: formal linguistic features, POS lexicon-based features related to different varieties, databased variety.We used various machine learning algorithms classification experiments, implemented selection...

Abstract This paper offers a formally driven quantitative analysis of stance-annotated sentences in the Brexit Blog Corpus (BBC). Our goal is to identify features that determine formal profiles six stance categories ( contrariety, hypotheticality, necessity, prediction, source knowledge and uncertainty ) subset BBC. The study has two parts: firstly, it examines large number linguistic features, such as punctuation, words grammatical occur order describe specific characteristics each...

Theoretical and empirical studies prove the strong relationship between social factors individual linguistic attitudes. Different categories, such as gender, age, education, profession status, are strongly related with diversity of people's everyday spoken written interaction. In this paper, sociolinguistic addressed to gender differentiation overviewed in order identify how various characteristics differ women men. Thereafter, it is examined if these qualitative features can become...

The Brexit Blog Corpus (bbc) is a collection of texts extracted from political blogs, which, in recent study, was annotated according to cognitive–functional stance framework by two independent annotators (Annotator A and B) using semantic criteria ( Simaki et al., 2017 ). goal label the or stances taken based on overall meaning set utterances. were not instructed identify lexical forms that used express stances. In this we make use those stance-labelled utterances as springboard approach...

As new technologies emerge, more and people depend on them for a variety of purposes. Now than ever there is tendency technological implications to substitute face-to-face communication education. In this paper we attempt investigate whether the usability pedagogical factors quality educational platforms meet expectations three dominant learning theories past century, which, namely are: behaviorism, cognitivism constructivism. We assign specific derived from 9 evaluation models 3 theories. A...

The paper presents an interdisciplinary study in the field of automatic gender and age identification, under scope sociolinguistic knowledge on gendered linguistic choices that social media users make. authors investigated gathered standard novel text features used mining approaches author's demographic information profiling they examined their efficacy detection tasks a corpus consisted texts. An analysis most informative is attempted according to nature each feature derived after...

Until recently, the lack of user activity on search results was perceived as a sign dissatisfaction from retrieval performance. However, recent studies have reported that some queries might not be followed by clicks to content retrieved results, because task can satisfied in list views without need click through them. In this paper, we propose method for evaluating satisfaction searches are clickthrough results. We found there is strong association between implicit measures and user's...

In this paper, we present a study for the identification of stance-related features in text data from social media. Based on our previous work stance and findings patterns, detected characteristics set Twitter Facebook. We extracted various corpus-, quantitative- computational-based that proved to be significant six categories (contrariety, hypotheticality, necessity, prediction, source knowledge, uncertainty), tested them set. The results preliminary clustering method are presented...

Appropriate evaluation and experimental design are fundamental for empirical sciences, particularly in data-driven fields. Due to the successes computational modeling of languages, instance, research outcomes having an increasingly immediate impact on end users. As gap adoption by users decreases, need increases ensure that tools models developed communities practitioners reliable, trustworthy, supportive their goals. In this position paper, we focus issues evaluating visual text analytics...

Major political events become a dominant topic of the discussions in countries involved, and various actors, often other than parties, take stance towards them. The withdrawal UK from European Union as result 2016 referendum was one those, quite polarised atmosphere supporters both sides observed rest Europe since announced 2015. Based on impact Brexit economy, this study focused into financial domain UK, ways that services referred it their disclosures before, during just after referendum....

Taking stance towards any topic, event or idea is a common phenomenon on Twitter and social media in general. users express their opinions about different matters assess other people’s various discursive ways. The identification analysis of the linguistic ways that people use to take stances leads better understanding language user behaviour Twitter. Stance multidimensional concept involving broad range related notions such as modality, evaluation sentiment. In this study, we annotate data...

In this paper, we report on a preliminary study carried out for identifying patterns that characterize the genre type of Greek texts. course our study, address four distinct types, record their observable stylistic elements and indicate exploitation automatic genre-based document classi-fication. The findings demonstrate texts contain lexical features with discriminative power as far is concerned, however modeling those so they can be explored by computer-based applications still in early stages.