Sentiment analysis/nl: Difference between revisions
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Sentimentanalyse hulpmiddelen ontvangen inkomende tekst en verschaffen informatie over de onderliggende emotie van de tekst. | |||
< | <span id="HuggingFace_models"></span> | ||
==HuggingFace | ==HuggingFace modellen== | ||
* [https://huggingface.co/DTAI-KULeuven/robbert-v2-dutch-sentiment?text=Prachtig+verhaal%2C+heel+mooi+verteld+en+een+verrassend+einde...+Een+topper%21 RobBERT finetuned for sentiment analysis on DBRD] | * [https://huggingface.co/DTAI-KULeuven/robbert-v2-dutch-sentiment?text=Prachtig+verhaal%2C+heel+mooi+verteld+en+een+verrassend+einde...+Een+topper%21 RobBERT finetuned for sentiment analysis on DBRD] | ||
* [https://huggingface.co/wietsedv/bert-base-dutch-cased-finetuned-sentiment?text=I+like+you.+I+love+you wietsedv/bert-base-dutch-cased-finetuned-sentiment] | * [https://huggingface.co/wietsedv/bert-base-dutch-cased-finetuned-sentiment?text=I+like+you.+I+love+you wietsedv/bert-base-dutch-cased-finetuned-sentiment] | ||
* [https://huggingface.co/DTAI-KULeuven/robbertje-merged-dutch-sentiment?text=Prachtig+verhaal%2C+heel+mooi+verteld+en+een+verrassend+einde...+Een+topper%21 RobBERTje | * [https://huggingface.co/DTAI-KULeuven/robbertje-merged-dutch-sentiment?text=Prachtig+verhaal%2C+heel+mooi+verteld+en+een+verrassend+einde...+Een+topper%21 RobBERTje gefinetuned voor sentimentanalyse op DBRD] | ||
* [https://huggingface.co/ymcnabb/dutch_threeway_sentiment_classification_v2?text=I+like+you.+I+love+you dutch_threeway_sentiment_classification_v2] | * [https://huggingface.co/ymcnabb/dutch_threeway_sentiment_classification_v2?text=I+like+you.+I+love+you dutch_threeway_sentiment_classification_v2] | ||
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Revision as of 08:03, 4 April 2024
Sentimentanalyse hulpmiddelen ontvangen inkomende tekst en verschaffen informatie over de onderliggende emotie van de tekst.
HuggingFace modellen
- RobBERT finetuned for sentiment analysis on DBRD
- wietsedv/bert-base-dutch-cased-finetuned-sentiment
- RobBERTje gefinetuned voor sentimentanalyse op DBRD
- dutch_threeway_sentiment_classification_v2
SentEMO project
A multilingual, self-learning platform for aspect-based sentiment and emotion analysis