Knowledge Graph
Silytics Knowledge Graph
See how models, datasets, papers and organizations connect. Every link comes from public metadata: papers named on a model card, datasets and base models named in its tags, and the organization that published it. Click any dot to re-center; the smaller outer ring is two steps away.
cardiffnlp/tweet_sentiment_multilingual
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Connections
- cardiffnlp/twitter-xlm-roberta-base-sentiment-multilingual Modelused to train
- cardiffnlp/xlm-roberta-base-sentiment-multilingual Modelused to train
- alexander-sh/mDeBERTa-v3-multi-sent Modelused to train
- statmt/cc100 Datasettwo steps away
- microsoft/mdeberta-v3-base Modeltwo steps away
- stanfordnlp/sst2 Datasettwo steps away
- tyqiangz/multilingual-sentiments Datasettwo steps away
- mteb/tweet_sentiment_multilingual Datasettwo steps away
- Sp1786/multiclass-sentiment-analysis-dataset Datasettwo steps away
- cardiffnlp/twitter-roberta-base-sentiment-latest Modelsame organization
- cardiffnlp/twitter-xlm-roberta-base-sentiment Modelsame organization
- cardiffnlp/twitter-roberta-base-sentiment Modelsame organization
- cardiffnlp/tweet_eval Datasetsame organization
- cardiffnlp/twitter-roberta-base-emotion Modelsame organization
Relationships are extracted automatically from public metadata and may be incomplete or wrong. Absence of a link does not mean absence of a relationship. Intelligence · Compare models