Data Science, Machine Learning, NLP, Word Embeddings, AI.
right answer here? Intuitively, you probably want more dimensions the more types of input that you have. So, you would want more dimensions if you’re calculating embeddings for words, of which there are probably many tens of thousands of types in your corpus, versus if you’re calculating embeddings