Automating Chemical Entity Recognition: Creating Your ChemNER Model

<p>I&rsquo;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&rsquo;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&rsquo;ll walk you through the development of a simple Named Entity Recognition (NER) model that I&rsquo;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>