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A popular online repository of arXiv is home to numerous preprints in many scientific domains. Other than playing a role of disseminating up-to-date knowledge in pertaining domains, arXiv is an interesting complex system by itself from text analytics point of view. In this repository, we provide a collection of text embedding outputs for (almost) all papers' from the arXiv corpus by their titles and abstracts in order to provide multi-faceted characteristics of scientific knowledge.
arXiv, natural language processing, text embedding
arXiv, natural language processing, text embedding
| 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 | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 35 | |
| downloads | 5 |

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