14 results
- Go to itemThis workflow demonstrates how to do sentiment analysis by fine-tuning Google's BERT network. The idea is straight forward: A sma…12
- Go to itemThis workflow was presented at the webinar "KNIME & Redfield Present State-of-the-Art Language Models, Now Available Through Low-…2
- Go to itemThe example of applying Redfield NLP Nodes for multi-label text classification. In the workflow shown a case with bank customers …1
- Go to itemIn this workflow we are using BERT embeddings to detect sarcasm in texts. Other cases for embeddings are also considered: using P…0
- Go to itemIn this workflow we classify the first messages from threads by their root topic. Messages are taken from popular Swedish forum f…0
- Go to itemThis Wokflow demonstrates the usage of BERT Embeddings for the Content based recommendations for movie. The text is prepared in w…0
- Go to itemThis example show how Zero Shot Classification node can be used in order to assign the user provided labels to the texts. No trai…0
- Go to itemThe workflow uses enhanced version that includes Portuguese texts. English data is taken from here: https://www.kaggle.com/danofe…0
- Go to itemThe workflow demonstrates how to appy BERT model for multi-label classification to identify the tags of the StackOverFlow posts.0
- Go to itemThe workflow uses enhanced version that includes Portuguese texts. English data is taken from here:0
- Go to itemIn this workflow, abstracts from the COVID-19 Open Research Dataset (https://www.kaggle.com/allen-institute-for-ai/CORD-19-resear…0
- Go to itemThis workflow demonstrates how to do sentiment analysis with BERT extension for Knime by Redfield.0
- Go to itemThis workflow applies a BERT model, trained over a Kaggle Dataset (https://www.kaggle.com/crowdflower/twitter-airline-sentiment),…0
- Go to itemThis workflow uses a Kaggle Dataset, including 14K customer tweets towards six US airlines (https://www.kaggle.com/crowdflower/tw…0