Abstract: Accurately identifying core technological innovation pathways (TIPs) and evaluating opportunities in emerging technologies is important. In this article, we present an integrated framework ...
Nowadays, a daily increase of online available data leads to a growing need for that data to be organized and regularized. Textual data is all around us starting from web pages, e-books, media ...
In part two of this mini-series, we evaluate the range of machine-learning tools now available for application to veterinary clinical text-mining. These tools will be vital to automate extraction of ...
Text mining in biomedical literature is an emerging field which has already been shown to have a variety of implementations in many research areas, including genetics, personalized medicine, and ...
Abstract: The large amount of text that is generated daily on the web through comments on social networks, blog posts and open-ended question surveys, among others, demonstrates that text data is used ...
In our project on text-mining data from literature, we have build up a large dataset of solid-state reactions. Here, we provide our auto-generated open-source dataset of 30,031 chemical reactions ...
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