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Measuring document similarity with weighted averages of word embeddings
Principal Investigator(s): View help for Principal Investigator(s) Bryan Seegmiller, Northwestern University
Version: View help for Version V1
| Name | File Type | Size | Last Modified |
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application/zip | 50.8 MB | 11/11/2022 12:56:PM |
Project Citation:
Seegmiller, Bryan. Measuring document similarity with weighted averages of word embeddings. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2022-11-11. https://doi.org/10.3886/E182925V1
Project Description
Summary:
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Data and code for "Measuring document similarity using word embeddings" by Seegmiller, Papanikolaou, and Schmidt (2022)
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