- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
2196-1115
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
AraXLNet: pre-trained language model for sentiment analysis of Arabic ; volume:9 ; number:1 ; day:31 ; month:5 ; year:2022 ; pages:1-21 ; date:12.2022
Journal of Big Data ; 9, Heft 1 (31.5.2022), 1-21, 12.2022
- Creator
-
Alduailej, Alhanouf
Alothaim, Abdulrahman
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1186/s40537-022-00625-z
- URN
-
urn:nbn:de:101:1-2022073107541453893134
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:33 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Alduailej, Alhanouf
- Alothaim, Abdulrahman
- SpringerLink (Online service)
Other Objects (12)
Sentiment Analysis in Nepali Tweets: Leveraging TransformerBased Pre-trained Models
Improved Arabic image captioning model using feature concatenation with pre-trained word embedding
Offline Pre-trained Multi-agent Decision Transformer
Generalization of vision pre-trained models for histopathology
Leveraging pre-trained language models for code generation
Biomedical event extraction using pre-trained SciBERT
Pre-trained transformer-based language models for Sundanese
Analyzing pre-trained and fine-tuned language models
How to train your pre-trained GAN models
Large-scale Multi-modal Pre-trained Models: A Comprehensive Survey
Leveraging pre-trained language models for mining microbiome-disease relationships
Surgicberta: a pre-trained language model for procedural surgical language
Sentiment Analysis in Nepali Tweets: Leveraging TransformerBased Pre-trained Models
Improved Arabic image captioning model using feature concatenation with pre-trained word embedding
Offline Pre-trained Multi-agent Decision Transformer
Generalization of vision pre-trained models for histopathology
Leveraging pre-trained language models for code generation
Biomedical event extraction using pre-trained SciBERT
Pre-trained transformer-based language models for Sundanese
Analyzing pre-trained and fine-tuned language models
How to train your pre-trained GAN models
Large-scale Multi-modal Pre-trained Models: A Comprehensive Survey
Leveraging pre-trained language models for mining microbiome-disease relationships
Surgicberta: a pre-trained language model for procedural surgical language
Sentiment Analysis in Nepali Tweets: Leveraging TransformerBased Pre-trained Models
Improved Arabic image captioning model using feature concatenation with pre-trained word embedding
Offline Pre-trained Multi-agent Decision Transformer
Generalization of vision pre-trained models for histopathology
Leveraging pre-trained language models for code generation
Biomedical event extraction using pre-trained SciBERT
Pre-trained transformer-based language models for Sundanese
Analyzing pre-trained and fine-tuned language models
How to train your pre-trained GAN models
Large-scale Multi-modal Pre-trained Models: A Comprehensive Survey
Leveraging pre-trained language models for mining microbiome-disease relationships