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Feature
Let suppose one has at hand a textual corpus with a split in distinct time periods. One may want to analyze how word embeddings change across time.
Describe the solution you'd like
We suggest an approach as follows :
train a SINr model on the whole corpus
train several SINr models, one for each of the corpus slices, using the communities detected on the whole corpus
The text was updated successfully, but these errors were encountered:
Feature
Let suppose one has at hand a textual corpus with a split in distinct time periods. One may want to analyze how word embeddings change across time.
Describe the solution you'd like
We suggest an approach as follows :
The text was updated successfully, but these errors were encountered: