Automating Chemical Entity Recognition: Creating Your ChemNER Model
<p>I’ve always had a strong interest in chemistry, and it has played a significant role in shaping both my academic and professional journey. As a data professional with a background in chemistry, I’ve found many ways to apply both my scientific and research skills like creativity, curiosity, patience, keen observation, and analysis to data projects. In this article, I’ll walk you through the development of a simple Named Entity Recognition (NER) model that I’ve dubbed ChemNER. This model can identify chemical compounds within text and classify them into categories such as alkanes, alkenes, alkynes, alcohols, aldehydes, ketones, or carboxylic acids.</p>
<p><a href="https://towardsdatascience.com/text-mining-for-chemists-a-diy-guide-to-chemical-compound-labeling-ea3145e24dc4"><strong>Website</strong></a></p>