Description
One of the most challenging tasks for machine learning models is finding the best way to to generate numeric representations for words so the model can use that information in its calculations. In…
Summary
- GloVe, ELMo & BERT A guide to state-of-the-art text classification using Spark NLP One of the most challenging tasks for machine learning models is finding the best way to to generate numeric representations for words so the model can use that information in its calculations.
- Using the code below will allow us see the distribution of our target variable.
- A key difference is that with GloVe we are using the learned vectors for some downstream task.
- In the next section, we will compare how well the embeddings from these models can be used to classify disaster from no disaster.