Summary of Advanced Unstructured Data Processing For Esg Reports: a Methodology For Structured Transformation and Enhanced Analysis, by Jiahui Peng et al.
Advanced Unstructured Data Processing for ESG Reports: A Methodology for Structured Transformation and Enhanced Analysis
by Jiahui Peng, Jing Gao, Xin Tong, Jing Guo, Hang Yang, Jianchuan Qi, Ruiqiao Li, Nan Li, Ming Xu
First submitted to arxiv on: 4 Jan 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI)
GrooveSquid.com Paper Summaries
GrooveSquid.com’s goal is to make artificial intelligence research accessible by summarizing AI papers in simpler terms. Each summary below covers the same AI paper, written at different levels of difficulty. The medium difficulty and low difficulty versions are original summaries written by GrooveSquid.com, while the high difficulty version is the paper’s original abstract. Feel free to learn from the version that suits you best!
| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper introduces a novel methodology for analyzing unstructured Environmental, Social, and Governance (ESG) reports from companies. The approach, called the “Unstructured Core Library”, is specifically designed to tackle the challenges of processing these reports’ varied formats and intricate content. The method utilizes high-precision text cleaning, image text extraction, and table standardization to transform ESG reports into structured, analyzable formats. This innovation enables the handling of diverse data types, including text, images, and tables, and is capable of managing different page layouts and report styles across industries. The paper’s contribution paves the way for applying advanced NLP technologies and large language models in corporate governance and sustainability assessment. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This study helps companies be more responsible with their impact on the environment, society, and government. It develops a new way to analyze reports that companies submit about their environmental, social, and governance practices. The method can handle different types of data, like text, images, and tables, which is important because reports come in many formats. This innovation makes it easier for experts to understand how companies are doing with respect to sustainability. |
Keywords
» Artificial intelligence » Nlp » Precision
