I am using {text2vec} word embeddings to build a dictionary of similar terms pertaining to a certain semantic category.
Is it OK to compound some tokens in the corpus, but not all? For example, I want to calculate terms similar to “future generation” or “rising generation”, but these collocations occur as separate terms in the original corpus of course. I am wondering if it is bad practice to gsub "rising generation" --> "rising_generation", without compounding all other terms that occur frequently together such as “climate change.”
Thanks!