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EDGAR-W2V: the word embeddings trained on EDGAR-CORPUS. EDGAR-W2V is 200-dimensional and contains a financial vocabulary of 100k tokens, which is also attached. EDGAR-W2V is found in the paper entitled "EDGAR-CORPUS: Billions of Tokens Make The World Go Round", Proceedings of the Workshop on Economics and Natural Language Processing (ECONLP) - co-located with EMNLP 2021
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
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| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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