Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Vasiliki Simaki"'
Publikováno v:
Research in Corpus Linguistics. 11:53-80
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 assess other people’s opinions in various discursive ways. The identifica
Autor:
Pantea Haghighatkhah, Mennatallah El-Assady, Jean-Daniel Fekete, Narges Mahyar, Carita Paradis, Vasiliki Simaki, Bettina Speckmann
Publikováno v:
VIS4DH 2022-7th Workshop on Visualization for the Digital Humanities
VIS4DH 2022-7th Workshop on Visualization for the Digital Humanities, Oct 2022, Oklahoma City, United States
VIS4DH 2022-7th Workshop on Visualization for the Digital Humanities, Oct 2022, Oklahoma City, United States
International audience; Current visual text analysis approaches rely on sophisticated processing pipelines. Each step of such a pipeline potentially amplifies any uncertainties from the previous step. To ensure the comprehensibility and interoperabil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b198e7bc40b4894ff93871e6ed776b75
Publikováno v:
Corpora. 14:379-405
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 independent annotators (Annotator A and B) using semantic crit
Publikováno v:
Speech and Computer ISBN: 9783030602758
SPECOM
SPECOM
Opinion mining on social media posts has become more and more popular. Users often express their opinion on a topic not only with words but they also use image symbols such as emoticons and emoji. In this paper, we investigate the effect of emoji-bas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3db79e36c87e4cb93e41ed774197f237
https://doi.org/10.1007/978-3-030-60276-5_42
https://doi.org/10.1007/978-3-030-60276-5_42
Publikováno v:
ICAME Journal, Vol 42, Iss 1, Pp 133-166 (2018)
ICAME Journal; 42, pp 133-165 (2018)
ICAME Journal; 42, pp 133-165 (2018)
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 the formal profiles of six stance categories (contrariety, hypotheticality, neces
Autor:
Vasiliki Simaki, Marianna Kondyli, Vasileios Megalooikonomou, Iosif Mporas, Christina Aravantinou
Publikováno v:
Journal of Quantitative Linguistics. 24:65-84
Theoretical and empirical studies prove the strong relationship between social factors and the individual linguistic attitudes. Different social categories, such as gender, age, education, profession and social status, are strongly related with the l
We critically assess mainstream accounting and finance research applying methods from computational linguistics (CL) to study financial discourse. We also review common themes and innovations in the literature and assess the incremental contributions
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c472d6548a2a2f3c42ce77b09b488e34
http://arxiv.org/abs/1903.12271
http://arxiv.org/abs/1903.12271
Publikováno v:
American Journal of Engineering and Applied Sciences. 9:868-876
The paper presents an interdisciplinary study in the field of automatic gender and age identification, under the scope of sociolinguistic knowledge on gendered and age linguistic choices that social media users make. The authors investigated and gath
Publikováno v:
International Journal on Artificial Intelligence Tools. 29:2002001
Publikováno v:
SETN
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 on stance and our findings on stance patterns, we detected stance-related characteristics in a data set fro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::039364e926a0ba781021f85df8a343ac
https://lup.lub.lu.se/record/e8c1cdaa-6c8c-4865-b0b0-b165ab862a96
https://lup.lub.lu.se/record/e8c1cdaa-6c8c-4865-b0b0-b165ab862a96