Semantic search using Natural Language Processing

被引：0
|
作者：
Kupiyalova, Aiza [1 ]
Satybaldiyeva, Ryskhan [1 ]
Aiaskarov, Serik [1 ]
机构：
[1] Int Informat Technol Univ, Informat Syst Dept, Alma Ata, Kazakhstan
来源：
2020 IEEE 22ND CONFERENCE ON BUSINESS INFORMATICS (CBI 2020), VOL 2: RESEARCH-IN-PROGRESS AND WORKSHOP PAPERS | 2020年
关键词：
Semantic search; Data management; context analysis; NLP; machine translation; machine learning; computational techniques; linguists;
D O I：
10.1109/CBI49978.2020.10065
中图分类号：
F [经济];
学科分类号：
02 ;
摘要：
Natural Language Processing (NLP) is a computerized way of analyzing texts. NLP involves the acquisition of knowledge on how a person understands and uses language. This is for the development of appropriate tools and techniques that allow computer systems to understand and manipulate natural languages to perform various desirable tasks. This article reviews the literature in the NLP. It also provides information about NLP history. Additionally it provides architectural design for semantic search tool using NLP, and discussed architectural modules, domain and constraints. This work proposes future possibilities for research and its application.
引用
收藏
页码：96 / 100
页数：5
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