Results 1 to 10 of about 372,569 (238)
TimeLMs: Diachronic Language Models from Twitter [PDF]
Annual Meeting of the Association for Computational Linguistics, 2022 Despite its importance, the time variable has been largely neglected in the NLP and language model literature. In this paper, we present TimeLMs, a set of language models specialized on diachronic Twitter data.
Daniel Loureiro +4 more
semanticscholar +1 more source
ChatGPT-4 Outperforms Experts and Crowd Workers in Annotating Political Twitter Messages with Zero-Shot Learning [PDF]
arXiv.org, 2023 This paper assesses the accuracy, reliability and bias of the Large Language Model (LLM) ChatGPT-4 on the text analysis task of classifying the political affiliation of a Twitter poster based on the content of a tweet.
Petter Törnberg
semanticscholar +1 more source
XLM-T: Multilingual Language Models in Twitter for Sentiment Analysis and Beyond [PDF]
International Conference on Language Resources and Evaluation, 2021 Language models are ubiquitous in current NLP, and their multilingual capacity has recently attracted considerable attention. However, current analyses have almost exclusively focused on (multilingual variants of) standard benchmarks, and have relied on ...
Francesco Barbieri +2 more
semanticscholar +1 more source
مواقف الملک عبدالعزيز في حفظ الحرمات
مجلة الدراسات الإنسانية والأدبية, 2022 The research sheds light on King Abdul-Aziz's attitudes in preserving sanctities, which were classified as part of the research framework as those sanctities that fall under the five necessities that Islamic Sharia came to preserve.
سعيد بن مشبب القحطاني +1 more
doaj +1 more source
Extending OCaml's 'open' [PDF]
Electronic Proceedings in Theoretical Computer Science, 2019 We propose a harmonious extension of OCaml's 'open' construct. OCaml's existing construct 'open M' imports the names exported by the module 'M' into the current scope. At present 'M' is required to be the path to a module.
Runhang Li, Jeremy Yallop
doaj +1 more source
Sarcasm detection using news headlines dataset
AI Open, 2023 Sarcasm has been an elusive concept for humans. Due to interesting linguistic properties, sarcasm detection has gained traction of the Natural Language Processing (NLP) research community in the past few years.
Rishabh Misra, Prahal Arora
doaj +1 more source
A Topic Modeling Comparison Between LDA, NMF, Top2Vec, and BERTopic to Demystify Twitter Posts
Frontiers in Sociology, 2022 The richness of social media data has opened a new avenue for social science research to gain insights into human behaviors and experiences. In particular, emerging data-driven approaches relying on topic models provide entirely new perspectives on ...
R. Egger, Joanne Yu
semanticscholar +1 more source
Data in Brief, 2022 The addition of supplementary cementitious materials (SCM), particularly at nano level, leads to several benefits, such as the reduced permeability of concrete matrix, which consequently leads to having more durable and sustainable concrete.
Aref M. al-Swaidani
doaj +1 more source
Twitter mood predicts the stock market [PDF]
Journal of Computer Science, 2010 Behavioral economics tells us that emotions can profoundly affect individual behavior and decision-making. Does this also apply to societies at large, i.e. can societies experience mood states that affect their collective decision making? By extension is
J. Bollen, Hui-Na Mao, Xiao-Jun Zeng
semanticscholar +1 more source
Algorithmic amplification of politics on Twitter [PDF]
Proceedings of the National Academy of Sciences of the United States of America, 2021 Significance The role of social media in political discourse has been the topic of intense scholarly and public debate. Politicians and commentators from all sides allege that Twitter’s algorithms amplify their opponents’ voices, or silence theirs ...
Ferenc Huszár +5 more
semanticscholar +1 more source