train fasttext classifier with different word embedding || fasttext word embedding with different classifier
Haya Baqais
hey guys
I'm CS student (knows the basics of NLP but didn't study it) and I am working on a course project that required to involve any trend tech and I choose ML
based on what I read that the best model to achieve my goal is fasttext with CBOW word representation
from what I understand fasttext classifier uses Skipgram as default in Supervised learning
1- is there any way to do supervised classification using fasttext with CBOW word representation?
2- I want to test the classifier with different word embedding (word2vec) is there any idea how to pass the vectors to the classifier?
3- I have seen one mentioned that they did only the word embedding using fasttext could you please share the way if you know how? this might help to use different classifier
