DUKweb, diachronic word representations from the UK Web Archive corpus

Autor: Adam Tsakalidis, Pierpaolo Basile, Marya Bazzi, Mihai Cucuringu, Barbara McGillivray

Publikováno v: Scientific Data, Vol 8, Iss 1, Pp 1-12 (2021)

Measurement(s) Natural Language • lexical semantic change Technology Type(s) Programming Language • word embeddings • Cosine Distance Method Factor Type(s) time period Machine-accessible metadata file describing the reported data: https://doi.o

Externí odkaz: https://doaj.org/article/aef5781c2e134598916e709cc378996e

Overview of the CLPsych 2022 Shared Task: Capturing Moments of Change in Longitudinal User Posts

Autor: Adam Tsakalidis, Jenny Chim, Iman Munire Bilal, Ayah Zirikly, Dana Atzil-Slonim, Federico Nanni, Philip Resnik, Manas Gaur, Kaushik Roy, Becky Inkster, Jeff Leintz, Maria Liakata

Publikováno v: Proceedings of the Eighth Workshop on Computational Linguistics and Clinical Psychology.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::87d815fbe95465a8df7c7ed046f23f2e
https://doi.org/10.18653/v1/2022.clpsych-1.16

Evaluation of Thematic Coherence in Microblogs

Autor: Rob Procter, Bo Wang, Adam Tsakalidis, Maria Liakata, Iman Munire Bilal

Publikováno v: ACL/IJCNLP (1)

Collecting together microblogs representing opinions about the same topics within the same timeframe is useful to a number of different tasks and practitioners. A major question is how to evaluate the quality of such thematic clusters. Here we create

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0423ec69bb8954e027491efa06fbdaa3
https://doi.org/10.18653/v1/2021.acl-long.530

Building and evaluating resources for sentiment analysis in the Greek language

Autor: Kyriaki Ioannidou, Rania Voskaki, Adam Tsakalidis, Alexandra I. Cristea, Maria Liakata, Yiannis Kompatsiaris, Symeon Papadopoulos, Christina Boididou

Publikováno v: Language Resources and Evaluation
Language Resources and Evaluation, Springer Verlag, 2018, 52 (4), pp.1021-1044. ⟨10.1007/s10579-018-9420-4⟩
Language resources and evaluation, 2018, Vol.52(4), pp.1021-1044 [Peer Reviewed Journal]
BASE-Bielefeld Academic Search Engine

Sentiment lexicons and word embeddings constitute well-established sources of information for sentiment analysis in online social media. Although their effectiveness has been demonstrated in state-of-the-art sentiment analysis and related tasks in th

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::23074c2340ea2752b3b6999acc0dac1c
https://doi.org/10.1007/s10579-018-9420-4

Can We Assess Mental Health Through Social Media and Smart Devices? Addressing Bias in Methodology and Evaluation

Autor: Adam Tsakalidis, Alexandra I. Cristea, Maria Liakata, Theodoros Damoulas

Publikováno v: Machine Learning and Knowledge Discovery in Databases ISBN: 9783030109967
ECML/PKDD (3)
Brefeld, Ulf & Curry, Edward & Daly, Elizabeth & MacNamee, Brian & Marascu, Alice & Pinelli, Fabio & Berlingerio, Michele & Hurley, Neil (Eds.). (2019). Machine Learning and Knowledge Discovery in Databases. European Conference, ECML PKDD 2018, Dublin, Ireland, September 10–14, 2018, Proceedings, Part III. Cham: Springer, pp. 407-423, Lecture notes in computer science, Vol.11053(11053)
BASE-Bielefeld Academic Search Engine

Predicting mental health from smartphone and social media data on a longitudinal basis has recently attracted great interest, with very promising results being reported across many studies. Such approaches have the potential to revolutionise mental h

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e9d3c28cb1ae174f8e2a556e24625960
https://doi.org/10.1007/978-3-030-10997-4_25