Results 21 to 30 of about 40,386 (82)

Stress Detection on Code-Mixed Texts in Dravidian Languages using Machine Learning [PDF]

arXiv
Stress is a common feeling in daily life, but it can affect mental well-being in some situations, the development of robust detection models is imperative. This study introduces a methodical approach to the stress identification in code-mixed texts for Dravidian languages.
arxiv  

An essay on stress. By MORRIS HALLE and JEAN-ROGER VERGNAUD. (Current studies in linguistics series, 15.) Cambridge, MA: MIT Press, 1987. Pp. xiii, 300

, 1989
Masao Okazaki
openalex   +2 more sources

Towards Sustainable Workplace Mental Health: A Novel Approach to Early Intervention and Support [PDF]

arXiv
Employee well-being is a critical concern in the contemporary workplace, as highlighted by the American Psychological Association's 2021 report, indicating that 71% of employees experience stress or tension. This stress contributes significantly to workplace attrition and absenteeism, with 61% of attrition and 16% of sick days attributed to poor mental
arxiv  

Living with invisible medical disabilities: experiences and challenges of Chilean university students disclosed in medical consultations. [PDF]

Int J Qual Stud Health Well-being, 2023
Sowińska A, Pezoa Tudela R.
europepmc   +1 more source

Machine Learning-Based Genomic Linguistic Analysis (Gene Sequence Feature Learning): A Case Study on Predicting Heavy Metal Response Genes in Rice [PDF]

arXiv
This study explores the application of machine learning-based genetic linguistics for identifying heavy metal response genes in rice (Oryza sativa). By integrating convolutional neural networks and random forest algorithms, we developed a hybrid model capable of extracting and learning meaningful features from gene sequences, such as k-mer frequencies ...
arxiv  

Who Are You Behind the Screen? Implicit MBTI and Gender Detection Using Artificial Intelligence [PDF]

arXiv
In personalized technology and psychological research, precisely detecting demographic features and personality traits from digital interactions becomes ever more important. This work investigates implicit categorization, inferring personality and gender variables directly from linguistic patterns in Telegram conversation data, while conventional ...
arxiv  

Easy Problems That LLMs Get Wrong [PDF]

arXiv
We introduce a comprehensive Linguistic Benchmark designed to evaluate the limitations of Large Language Models (LLMs) in domains such as logical reasoning, spatial intelligence, and linguistic understanding, among others. Through a series of straightforward questions, it uncovers the significant limitations of well-regarded models to perform tasks ...
arxiv  

Simon Fraser University Speech Error Database - English (SFUSED English): Methods and Design. [PDF]

J Cogn
Alderete J.
europepmc   +1 more source

The sociolinguistic foundations of language modeling. [PDF]

Front Artif Intell
Grieve J, Bartl S, Fuoli M, Grafmiller J, Huang W, Jawerbaum A, Murakami A, Perlman M, Roemling D, Winter B.   +9 more
europepmc   +1 more source

Exploring the effects of artificial intelligence on student and academic well-being in higher education: a mini-review. [PDF]

Front Psychol
Klimova B, Pikhart M.
europepmc   +1 more source