Text & Data Mining
Harness the power of big data and analytics
Text & Data Mining (TDM) employs machine learning, complex algorithms, and artificial intelligence to perform sophisticated analyses on large amounts of data. TDM analyzes available texts and figures to extract relationships and trends that don’t typically surface via traditional techniques. ACS’s vast volumes of published research are a perfect source for TDM efforts.
Benefits of Choosing ACS for Text & Data Mining
Regardless of job title, field, or industry, if you are ready to use information to predict trends and make evidence-based decisions, ACS’s published content is an excellent resource for analyses. Achieve a competitive edge by using text & data mining (TDM) to unlock the power of ACS content.
Quickly and accurately locate information that can guide decision-making and advance R&D by discovering patterns and relationships that are often invisible without TDM. These discoveries can enhance research processes and help find cost-saving efficiencies. In addition to enhancing research discovery, TDM also equips legal, patent, and regulatory divisions with data-driven evidence from proven ACS sources.
TDM Used to Uncover Energy Solutions
Hydrogen gas is a promising fuel candidate, but storage for hydrogen gas continues to be a challenge. Adsorption onto porous metal–organic frameworks (MOFs) is one of the more attractive strategies for safe storage. In a recent paper in Langmuir, researchers used TDM to analyze the surface area and pore volumes of MOF in more than 58,000 published articles to find the MOFs with the highest hydrogen uptake and to build a model with which they could compare calculated accessible surface area of CCDC data. The verified model can help predict new MOF structures that will perform even better.Find out how researchers used TDM
Download Sample XML Files
ACS offers a variety of methods for taking advantage of TDM across our platform of book and journal content. Download the sample files below to view the type of content typically delivered to TDM customers. To get started with TDM or to speak with us about additional customization, click the button below.
- Journal Article: Download the full XML in JATS format for the ACS Omega journal article titled “Synthesis and Biological Evaluation of Three New Chitosan Schiff Base Derivatives”. View the full-text of this article online by visiting https://pubs.acs.org/doi/10.1021/acsomega.0c01342.
- Complete Book: Download the full XML in BITS format for the ACS Symposium Series eBook titled Green Polymer Chemistry: Biobased Materials and Biocatalysis. Subscribers can view the book online by visiting https://pubs.acs.org/isbn/9780841230651.
Using TDM to Diagnose Cancer
Prostate cancer is one of the most common non-skin cancers that affects men, but current diagnostic tools are invasive and have limited accuracy. In recent research published in Journal of Proteome Research, TDM was used to evaluate the importance of 4,388 genes that may be useful in diagnosing prostate cancer in the future. The evaluation process yielded seven likely markers, and the model was evaluated with human samples.Find out how researchers used TDM