Research on Surrounding String Recognition Technology Based on Big Data and Semantic Analysis

DOI

10.2991/pntim-19.2019.75How to use a DOI?

Keywords

Big Data; Semantic Analysis; Surrounding String Recognition Technology

Abstract

In bidding process, even if the bidder knows it in advance, electronic bid evaluation algorithm based on price factor deviation rate and published in the bidding documents, where the deviation rate of the tender is calculated by directly weighting the average deviation rate of the price component and its weight is the proportion of each price component to the total quotation, has a linear structure. Therefore, semantic analysis ability based on the price factor deviation rate in big data is used as the surrounding string recognition technology in this paper, and bidding security identification analysis ability is established with the help of linear indexing algorithm of linear mechanism to provide service for the fairness of bidding.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xie Rongwei
AU  - Zheng Nannan
PY  - 2019/11
DA  - 2019/11
TI  - Research on Surrounding String Recognition Technology Based on Big Data and Semantic Analysis
BT  - Proceedings of the 2019 International Conference on Precision Machining, Non-Traditional Machining and Intelligent Manufacturing (PNTIM 2019)
PB  - Atlantis Press
SP  - 368
EP  - 370
SN  - 2589-4943
UR  - https://doi.org/10.2991/pntim-19.2019.75
DO  - 10.2991/pntim-19.2019.75
ID  - Rongwei2019/11
ER  -