« La fouille de textes et de données (TDM) est aujourd’hui un enjeu majeur pour la recherche et pour la documentation.
Se plaçant comme un acteur fort en la matière, l’Inist-CNRS, en partenariat avec l’ENSSIB, propose une formation « La fouille de textes par l’exemple à…
« La mission confiée en juin 2020 à Mme Alexandra Bensamoun, professeure des universités, et à M. Yohann Bouquerel, maître des requêtes en service extraordinaire au Conseil d’État, visait à formuler des propositions dans le cadre de la transposition des exceptions au droit d’auteur et aux droits voisins pour permettre la…
« Yesterday, Authors Alliance, joined by the Library Copyright Alliance and the American Association of University Professors, filed a comment with the Copyright Office for a new three-year exemption to the Digital Millennium Copyright Act (“DMCA”) as part of the Copyright Office’s
« More than 50 000 papers have been published about COVID-19 since the beginning of 2020 and several hundred new papers continue to be published every day. This incredible rate of scientific productivity leads to information overload, making it difficult for researchers, clinicians and public health officials to keep up with…
« (…) Text and data mining (TDM) is now accessible to all researchers – even those without coding experience – thanks to a new visualization interface in ProQuest TDM Studio. The new interface enables TDM to extend beyond pure research and into teaching and learning by enabling…
« (…) In this paper, we present a novel mathematical approach for the automatic extraction of domain-specific words called the hyperplane-based approach. This new approach depends on the notion of low dimensional representation of the word in vector space and its distance from hyperplane. The hyperplane-based approach can significantly reduce text…
« SDP is a full day workshop that provides an interdisciplinary venue for researchers interested in any aspect of mining scientific literature. (…) »
« Meet two text mining experts in today’s interview, which explores some of the common issues faced by data scientists in text analytics. (…) »
« (…) In this work, I present a web tool which uses a Text Mining strategy to transform large collections of unstructured biomedical articles into structured data. Generated results give a quick overview on complex topics which can possibly suggest not explicitly reported information. (…) »
« SciBite announces the release of SciBiteAI Relationship Extraction models, which provide the enhanced ability to identify complex relationships within text to further unlock insights from Life Sciences data. (…) »
