Cargando…
What issues are data scientists talking about? Identification of current data science issues using semantic content analysis of Q&A communities
BACKGROUND: Because of the growing involvement of communities from various disciplines, data science is constantly evolving and gaining popularity. The growing interest in data science-based services and applications presents numerous challenges for their development. Therefore, data scientists freq...
Autor principal: | Gurcan, Fatih |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10280584/ https://www.ncbi.nlm.nih.gov/pubmed/37346688 http://dx.doi.org/10.7717/peerj-cs.1361 |
Ejemplares similares
-
Current approaches for executing big data science projects—a systematic literature review
por: Saltz, Jeffrey S., et al.
Publicado: (2022) -
Leveraging deep contrastive learning for semantic interaction
por: Belcaid, Mahdi, et al.
Publicado: (2022) -
A machine-learning scraping tool for data fusion in the analysis of sentiments about pandemics for supporting business decisions with human-centric AI explanations
por: Kumar, Swarn Avinash, et al.
Publicado: (2021) -
How to detect propaganda from social media? Exploitation of semantic and fine-tuned language models
por: Malik, Muhammad Shahid Iqbal, et al.
Publicado: (2023) -
Selective oversampling approach for strongly imbalanced data
por: Gnip, Peter, et al.
Publicado: (2021)