A lightweight tool from the STM Association that matches publisher content to the UN Sustainable Development Goals. It runs text against two independently developed sets of Boolean queries from bibliometrics companies, built on specific SDG targets rather than…
SDG Classifier Demonstrator Read More »
SDGenie (beta) is a free experimental tool from CABI that matches research text, such as abstracts, to the UN Sustainable Development Goals at the level of the 169 individual targets rather than the 17 headline goals. Released as…
Molecular Connections worked with a physical sciences publishing society (AIPP) on content discoverability: building a rich ontology and semantically enriching millions of backfile articles using semantic fingerprinting and content classification.
Semantic Fingerprinting and Machine Learning for Content Discovery Read More »
Smart Topic Miner is Springer Nature’s ontology-driven tool for annotating Computer Science conference proceedings. Using the Computer Science Ontology, it matches editorial products to research topics, replacing manual annotation. In regular use by editors in Germany, China, Brazil,…
Smart Topic Miner (STM) Read More »
Elsevier is trialling ChatGPT in SSRN’s classification process, assigning research papers to topic areas within SSRN’s multi-level taxonomy. Runs on Microsoft Azure OpenAI, with Elsevier building its own production pipeline and testing incrementally for accuracy and rule adherence.
SSRN Paper Classification using ChatGPT Read More »
