Framing and face in Internet exchanges: A socio-cognitive approach
10.13092/lo.1.1080
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10.13092/lo.1.1080
Background/IntroductionThe success of influencer marketers' posts on social media often hinges on the influencer's ability to resonate with their audience through the language that they use. By leveraging their unique language cues and comm...
10.3389/fcomm.2026.1799090
Pre-trained language models (PLM) based on transformer neural networks developed in the field of natural language processing (NLP) offer great opportunities to improve automatic content analysis in communication science, especially for the ...
10.5771/2192-4007-2024-1-72
Bilingual parallel corpora is a very important basic resource in the research field of natural language processing based on statistics. There are cross alignment and empty alignment in Chinese-English bilingual text, it is easy to affect th...
10.6180/jase.202510_28(10).0005
In the modern world, learning is becoming increasingly critical due to rapid technological breakthroughs, which highlight the need for continuous skill development in both the personal and professional spheres. As a result, eLearning is a c...
10.1109/ACCESS.2024.3419024
Machine Reading Comprehension (MRC) is a challenging task in Natural Language Processing (NLP), crucial for automated customer support, enabling chatbots and virtual assistants to accurately understand and respond to queries. It also enhanc...
10.1109/ACCESS.2025.3530949
Résumé : L’avènement du numérique a complétement modifié la relation entre interlocuteurs dans le discours interpersonnel. Si auparavant les interlocuteurs se voyaient et même se faisaient face dans la prise en charge du dire et du montrer,...
Abstract Machine learning is a branch of the field of artificial intelligence. Deep learning is a complex machine learning algorithm that has unique advantages in image recognition, speech recognition, natural language processing, and indus...
10.1186/s13638-021-02038-7
Given its generality in applications and its high time-efficiency on big data-sets, in recent years, the technique of text filtering through pattern matching has been attracting increasing attention from the field of information retrieval a...
10.3390/info10080246
Abstract BackgroundThe quality and accessibility of menstrual health education (MHE) in low- and middle-income countries, including India, remain inadequate due to persistent challenges (eg, poverty, social stigma, and gender in...
10.2196/71977
Introduction Negative public sentiment towards vaccination (PSV) poses significant challenges to the effectiveness of immunisation programmes, with dramatic effects on morbidity and mortality for vaccine-preventable diseases. Yet, health re...
10.1136/bmjgh-2024-018587
Centuries of biological knowledge are contained in the massive body of scientific literature, written for human-readability but too big for any one person to consume. Large-scale mining of information from the literature is necessary if bio...
https://doi.org/10.1155/2012/391574
PMC: 3364545
The research areas of plan recognition and natural language parsing share many common features and even algorithms. However, the dialog between these two disciplines has not been effective. Specifically, significant recent results in parsin...
This paper provides an introduction to this special issue of SIGKDD Explorations devoted to Natural Language Processing and Text Mining....
https://doi.org/10.1145/1089815.1089816
This research paper explores a promising interface between natural language processing (NLP) and information assurance and security (IAS). More specificall~ it is devoted to possible applications to, and further dedicated development of, th...
https://doi.org/10.1145/366173.366190
Mental illness is highly prevalent nowadays, constituting a major cause of distress in people's life with impact on society's health and well-being. Mental illness is a complex multi-factorial disease associated with individual risk factors...
https://doi.org/10.1038/s41746-022-00589-7
PMC: 8993841
https://doi.org/10.1007/978-3-030-62077-6_14
https://doi.org/10.1016/b978-0-12-821936-2.00004-2
BERT (Bidirectional Encoder Representations from Transformers) has revolutionized Natural Language Processing (NLP) by significantly enhancing the capabilities of language models. This review study examines the complex nature of BERT, inclu...
https://doi.org/10.1007/s10462-025-11162-5
Natural language processing (NLP) is a field of computer science that is a subset of artificial intelligence and that helps computers understand human language as it is written and spoken. Until recently, it was humans who were trying to un...
https://doi.org/10.1007/978-1-4842-3312-2_9