Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Information retrieval system for silte language using BM25 weighting   The main aim of an information retrieval system is to extract appropriate
information from an enormous collection of data based on users need. The basic
concept of the information retrieval system is that when a user sends out a
query, the system would try to generate a list of related documents ranked in
order, according to their degree of relevance. Digital unstructured Silte text
documents increase from time to time. The growth of digital text information
makes the utilization and access of the right information difficult. Thus,
developing an information retrieval system for Silte language allows searching
and retrieving relevant documents that satisfy information need of users. In
this research, we design probabilistic information retrieval system for Silte
language. The system has both indexing and searching part was created. In these
modules, different text operations such as tokenization, stemming, stop word
removal and synonym is included.

14
The categories of this paper are: math-ph
20
The categories of this paper are: acc-phys
4
The categories of this paper are: cond-mat
0
The categories of this paper are: hep-ph
6
The categories of this paper are: astro-ph
13
The categories of this paper are: quant-ph
28
The categories of this paper are: alg-geom
18
The categories of this paper are: econ
2
The categories of this paper are: math
16
The categories of this paper are: stat
22
The categories of this paper are: chao-dyn
32
The categories of this paper are: atom-ph
27
The categories of this paper are: comp-gas
15
The categories of this paper are: nucl-ex
25
The categories of this paper are: patt-sol
8
The categories of this paper are: hep-ex