Work

Application of Natural Language Processing Technology in Sustainable Procurement Analysis of Purchase Orders

Year: 2024

Type: conference-paper

Abstract: Sustainable procurement is a key strategic policy aimed at having a positive impact on the environment, society, and economy while minimizing negative impacts. This article applies natural language processing methods to analyze purchase orders, in order to achieve sustainable procurement evaluation of purchase orders. This study starts with discussing data types, analyzing the potential value of data, and discussing and comparing the advantages and disadvantages of various NLP algorithms. This article uses the NLP algorithm to complete basic content analysis, and in a visual way, reflects the flexibility and meticulousness of the NLP algorithm in data analysis, providing reference significance for sustainable procurement evaluation.

Source: International Conference on Big Data Economy and Information Management (BDEIM)

DOI: 10.1145/3724154.3724203

Authors: Chunfeng Li, Hongjie Tao, Jie Geng

Institution: Zhejiang University of Finance and Economics

Language: English

Topic: Computational and Text Analysis Methods

Subfield: General Social Sciences

Field: Social Sciences

Domain: Social Sciences

Open Access status: bronze

OpenAlex ID: W4410250710

FWCI:

Cites: 15

Cited by:

Related to: 10