Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Data Lakes for Digital Humanities   Traditional data in Digital Humanities projects bear various formats
(structured, semi-structured, textual) and need substantial transformations
(encoding and tagging, stemming, lemmatization, etc.) to be managed and
analyzed. To fully master this process, we propose the use of data lakes as a
solution to data siloing and big data variety problems. We describe data lake
projects we currently run in close collaboration with researchers in humanities
and social sciences and discuss the lessons learned running these projects.

13
The categories of this paper are: quant-ph
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The categories of this paper are: eess
28
The categories of this paper are: alg-geom
18
The categories of this paper are: econ
7
The categories of this paper are: hep-th
29
The categories of this paper are: funct-an
26
The categories of this paper are: bayes-an
0
The categories of this paper are: hep-ph
23
The categories of this paper are: solv-int
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The categories of this paper are: q-fin
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The categories of this paper are: hep-lat
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The categories of this paper are: nlin
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The categories of this paper are: q-bio
2
The categories of this paper are: math
16
The categories of this paper are: stat
30
The categories of this paper are: q-alg