Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Predicting the Law Area and Decisions of French Supreme Court Cases   In this paper, we investigate the application of text classification methods
to predict the law area and the decision of cases judged by the French Supreme
Court. We also investigate the influence of the time period in which a ruling
was made over the textual form of the case description and the extent to which
it is necessary to mask the judge's motivation for a ruling to emulate a
real-world test scenario. We report results of 96% f1 score in predicting a
case ruling, 90% f1 score in predicting the law area of a case, and 75.9% f1
score in estimating the time span when a ruling has been issued using a linear
Support Vector Machine (SVM) classifier trained on lexical features.

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The categories of this paper are: q-bio
37
The categories of this paper are: supr-con
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The categories of this paper are: chem-ph
26
The categories of this paper are: bayes-an
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The categories of this paper are: solv-int
18
The categories of this paper are: econ
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The categories of this paper are: astro-ph
2
The categories of this paper are: math
33
The categories of this paper are: plasm-ph
32
The categories of this paper are: atom-ph
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The categories of this paper are: quant-ph
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The categories of this paper are: hep-th
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The categories of this paper are: physics
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The categories of this paper are: patt-sol
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The categories of this paper are: dg-ga
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The categories of this paper are: alg-geom