Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Substation Signal Matching with a Bagged Token Classifier   Currently, engineers at substation service providers match customer data with
the corresponding internally used signal names manually. This paper proposes a
machine learning method to automate this process based on substation signal
mapping data from a repository of executed projects. To this end, a bagged
token classifier is proposed, letting words (tokens) in the customer signal
name vote for provider signal names. In our evaluation, the proposed method
exhibits better performance in terms of both accuracy and efficiency over
standard classifiers.

28
The categories of this paper are: alg-geom
9
The categories of this paper are: nlin
3
The categories of this paper are: physics
33
The categories of this paper are: plasm-ph
20
The categories of this paper are: acc-phys
18
The categories of this paper are: econ
17
The categories of this paper are: q-fin
23
The categories of this paper are: solv-int
5
The categories of this paper are: gr-qc
31
The categories of this paper are: ao-sci
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The categories of this paper are: chao-dyn
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The categories of this paper are: adap-org
7
The categories of this paper are: hep-th
4
The categories of this paper are: cond-mat
34
The categories of this paper are: chem-ph
30
The categories of this paper are: q-alg