Do we include all the combinations of n-grams in the actual anlaysis?

Question

I looked at multiple tutorials on how to derive n-grams (here I will stick to bigrams) and included them in the analysis in NLP.
My quesiton is that whether we need to include all the possible combinations of bigrams as features because not all the bigrams would be meaningful.
For example, if we have a sentence such as "I like this movie because it was fun and scary" and consider bigrams as well, these include (after pre-processing):

bigrams=["like movie","movie fun", "fun scary"]

I am not sure this might be a good approach but what I can think of now is to include some frequent bigrams only as features.
or is there other practical norms to efficiently include meaningful bigrams only (although meaningful might be subjective and context-dependent)?