Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Natural Language Processing using Hadoop and KOSHIK   Natural language processing, as a data analytics related technology, is used
widely in many research areas such as artificial intelligence, human language
processing, and translation. At present, due to explosive growth of data, there
are many challenges for natural language processing. Hadoop is one of the
platforms that can process the large amount of data required for natural
language processing. KOSHIK is one of the natural language processing
architectures, and utilizes Hadoop and contains language processing components
such as Stanford CoreNLP and OpenNLP. This study describes how to build a
KOSHIK platform with the relevant tools, and provides the steps to analyze wiki
data. Finally, it evaluates and discusses the advantages and disadvantages of
the KOSHIK architecture, and gives recommendations on improving the processing
performance.

22
The categories of this paper are: chao-dyn
27
The categories of this paper are: comp-gas
23
The categories of this paper are: solv-int
29
The categories of this paper are: funct-an
34
The categories of this paper are: chem-ph
8
The categories of this paper are: hep-ex
28
The categories of this paper are: alg-geom
12
The categories of this paper are: nucl-th
2
The categories of this paper are: math
19
The categories of this paper are: eess
5
The categories of this paper are: gr-qc
11
The categories of this paper are: hep-lat
18
The categories of this paper are: econ
21
The categories of this paper are: adap-org
4
The categories of this paper are: cond-mat
32
The categories of this paper are: atom-ph