PinnedPublished inCmotionsNLP with R part 2: Training Word Embedding models and visualize resultsWe show you how a Word2Vec and GloVe model is trained, interpret results and visualise differences.Nov 13, 2020Nov 13, 2020
Published inCmotionsBuilding a Beatles lyrics generatorFine-tune pre-trained models to behave “Beatles-like” using the original Beatles lyricsDec 13, 2022Dec 13, 2022
Published inCmotionsHow to showcase your demo on a Hugging Face 🤗 spaceWhen you are ready to show the world what you have made, Hugging Face 🤗spaces with Gradio make it easy to present your work.Dec 13, 2022Dec 13, 2022
Published inCmotionsFirst time right with NLP: zero shot classificationIn this article I will show you how easy it is to use a language model to classify text without any pre-existing labels.Nov 18, 2022Nov 18, 2022
Published inCmotionsForecasting Dutch marriages after Covid-19In this blog we use timeseries analyses to model the trend in Dutch marriages and extrapolate this to the first two Covid-19 years.Mar 14, 2022Mar 14, 2022
Published inCmotionsCorporate Identity Graphics in RThis blog is about getting corporate identity graphics ready in R using ggplot.Dec 1, 2020Dec 1, 2020
Published inCmotionsNatural Language Processing for predictive purposes with RHow to uncover the predictive potential of textual data using topic modeling, word embedding, transfer learning and transformer models in RNov 13, 2020Nov 13, 2020
Published inCmotionsNLP with R part 5: State of the Art in NLP: Transformers & BERTWe use 3 Transformer models to transform our Dutch text in context dependent representations and show how to use them in downstream tasks.Nov 13, 2020A response icon2Nov 13, 2020A response icon2
Published inCmotionsNLP with R part 4: Using Word Embedding models for prediction purposesIn this article we use Word Embedding for predicting which restaurant is more likely to receive a next Michelin star.Nov 13, 2020A response icon1Nov 13, 2020A response icon1
