Green Textile Life Cycle Assessment and Ecological Discourse Configuration Characteristics Analysis Using an Ecological Discourse Analysis Model

Yumei Huang, Xiaoying Xue

Article
2026 / Volume 9 / Pages 1120-1139
Received 30 July 2025; Accepted 16 October 2025; Published 27 April 2026
https://doi.org/10.31881/TLR.2026.1120

Abstract
Current life cycle assessments (LCAs) of green textiles often lack a thorough analysis of ecological discourse configuration characteristics, resulting in an incomplete understanding of the correlation between environmental impacts and social cognition. This study employs an integrated ecological life cycle assessment model, coupled with natural language processing (NLP) techniques, to address this gap by analyzing ecological discourse configuration. First, the study applies LCA methodology to quantitatively evaluate the production, use, and recycling stages of green textiles, focusing on resource consumption and environmental impacts. Subsequently, sentiment analysis and topic modeling are utilized to extract ecological discourse features from relevant texts, thereby constructing a comprehensive discourse structure. Experimental results demonstrate that the accuracy of keyword recognition within the ecological discourse analysis reaches 93.4%. This research provides a theoretical basis for optimizing green textile design and social promotion, facilitating the integration of environmental impact assessment and ecological discourse analysis.

Keywords
green textiles, life cycle assessment, ecological discourse, natural language processing