The aim of this study is to explore the possibility of identifying speaker stance in discourse,
provide an analytical resource for it and an evaluation of the level of agreement across …

The automatic detection and classification of stance (eg, certainty or agreement) in text data
using natural language processing and machine-learning methods creates an opportunity to …

Multidimensional data is often visualized using coordinated multiple views in an interactive
dashboard. However, unlike in infographics where text is often a central part of the …

The problem of identifying and correctly attributing speaker stance in human communication
is addressed in this paper. The data set consists of political blogs dealing with the 2016 …

The automatic detection of seven types of modifiers was studied: Certainty, Uncertainty,
Hypotheticality, Prediction, Recommendation, Concession/Contrast and Source. A classifier …

The Brexit Blog Corpus (bbc) is a collection of texts extracted from political blogs, which, in a
recent study, was annotated according to a cognitive–functional stance framework by two …

The use of interactive visualization techniques in Digital Humanities research can be a
useful addition when traditional automated machine learning techniques face difficulties, as …

Evaluating stance-annotated sentences from the Brexit Blog Corpus: A quantitative linguistic
analysis Page 1 133 ICAME Journal, Volume 42, 2018, DOI: 10.1515/icame-2018-0007 …

Taking stance towards any topic, event or idea is a common phenomenon on Twitter and
social media in general. Twitter users express their opinions about different matters and …

Context: Task-oriented conversational systems demand a high volume of data to understand
human language. One of the major challenges of Natural Language Processing (NLP) is the …