Q&A: Comparison of Chemical Dictionaries for Text Mining Shows Need for Clean-Up Approach

The scientists used a corpus to test the ChemSpider dictionary, which includes 80,000 manually curated terms, against Chemlist, which has almost four times as many terms that were automatically generated from several publicly available databases.

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