Statements (25)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:language
|
| gptkbp:analyzes |
public sentiment
|
| gptkbp:applies_to |
social media
|
| gptkbp:architecture |
gptkb:Transformers
|
| gptkbp:based_on |
gptkb:BERT
|
| gptkbp:can_be_used_for |
topic modeling
|
| gptkbp:competes_with |
gptkb:Ro_BERTa
|
| gptkbp:contributes_to |
NLP research
|
| gptkbp:developed_by |
gptkb:Twitter
|
| gptkbp:enhances |
user engagement
|
| gptkbp:fine_tuned_on |
tweets
|
| gptkbp:has_achieved |
state-of-the-art results
|
| https://www.w3.org/2000/01/rdf-schema#label |
BERTweet
|
| gptkbp:improves |
text classification
|
| gptkbp:integrates_with |
machine learning frameworks
|
| gptkbp:is_evaluated_by |
Twitter datasets
|
| gptkbp:is_optimized_for |
short text
|
| gptkbp:language |
English
|
| gptkbp:released_in |
gptkb:2020
|
| gptkbp:supports |
transfer learning
|
| gptkbp:used_for |
sentiment analysis
|
| gptkbp:utilizes |
contextual embeddings
|
| gptkbp:bfsParent |
gptkb:BERT
gptkb:Super_GLUE_benchmark |
| gptkbp:bfsLayer |
5
|