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Automatic ESG Assessment of Companies by Mining and Evaluating Media Coverage Data: NLP Approach and Tool

<p><strong>Replication package for our paper&nbsp;</strong><a href="https://arxiv.org/abs/2212.06540">Automatic ESG Assessment of Companies by Mining and Evaluating Media Coverage Data: NLP Approach and Tool</a></p> <p>It contains the following files:</p> <ol> <li>Our data set of 432,411 news headlines annotated as being environmental-, governance-, or social-related. We encourage fellow researchers to use the corpus as a benchmark for other ESG-relevant NLP tasks.</li> <li>Code/Notebooks that we used for the training and evaluation of our company detection, ESG classification, and sentiment models</li> <li>Full tables detailing the results of all experiments performed&nbsp;</li> </ol>

ShareScore

32/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
16
Reuse readiness
8
Engagement
0

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