问题
Is there a pre-trained doc2vec model with a large data set, like Wikipedia or similar?
回答1:
I don't know of any good one. There's one linked from this project, but:
- it's based on a custom fork from an older gensim, so won't load in recent code
- it's not clear what parameters or data it was trained with, and the associated paper may have made uninformed choices about the effects of parameters
- it doesn't appear to be the right size to include actual doc-vectors for either Wikipedia articles (4-million-plus) or article paragraphs (tens-of-millions), or a significant number of word-vectors, so it's unclear what's been discarded
While it takes a long time and significant amount of working RAM, there is a Jupyter notebook demonstrating the creation of a Doc2Vec model from Wikipedia included in gensim:
https://github.com/RaRe-Technologies/gensim/blob/develop/docs/notebooks/doc2vec-wikipedia.ipynb
So, I would recommend fixing the mistakes in your attempt. (And, if you succeed in creating a model, and want to document it for others, you could upload it somewhere for others to re-use.)
回答2:
Yes! I could find two pre-trained doc2vec models at this link
but still could not find any pre-trained doc2vec model which is trained on tweets
来源：https://stackoverflow.com/questions/51132848/is-there-pre-trained-doc2vec-model