Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: The Enron Corpus: Where the Email Bodies are Buried?   To probe the largest public-domain email database for indicators of fraud, we
apply machine learning and accomplish four investigative tasks. First, we
identify persons of interest (POI), using financial records and email, and
report a peak accuracy of 95.7%. Secondly, we find any publicly exposed
personally identifiable information (PII) and discover 50,000 previously
unreported instances. Thirdly, we automatically flag legally responsive emails
as scored by human experts in the California electricity blackout lawsuit, and
find a peak 99% accuracy. Finally, we track three years of primary topics and
sentiment across over 10,000 unique people before, during and after the onset
of the corporate crisis. Where possible, we compare accuracy against execution
times for 51 algorithms and report human-interpretable business rules that can
scale to vast datasets.

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The categories of this paper are: astro-ph
4
The categories of this paper are: cond-mat
17
The categories of this paper are: q-fin
11
The categories of this paper are: hep-lat
21
The categories of this paper are: adap-org
20
The categories of this paper are: acc-phys
37
The categories of this paper are: supr-con
35
The categories of this paper are: mtrl-th
27
The categories of this paper are: comp-gas
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The categories of this paper are: nlin
16
The categories of this paper are: stat
12
The categories of this paper are: nucl-th
30
The categories of this paper are: q-alg
13
The categories of this paper are: quant-ph
10
The categories of this paper are: q-bio
25
The categories of this paper are: patt-sol