I am running a task where it would be nice to have different versions of word embeddings across different time periods e.g. embeddings for 2013, 2014, 2015, 2016 ... 2020. This is because I don't want to bias my algorithm by using embeddings which have been trained on a time period before I run my target task e.g. using embeddings from 2019 when I am running a task on data from 2013 (i.e. words will have different meanings).
Is anybody aware of a project which has pretrained embeddings across time? The data type would preferably be social media (e.g. Twitter).