Titlebook: Digital Libraries at the Crossroads of Digital Information for the Future; 21st International C Adam Jatowt,Akira Maeda,Sue Yeon Syn Confer

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Connecting Data for Digital Libraries: The Library, the Dictionary and the Corpusnecting all relevant resources in a digital library-centered platform creates new possibilities both for researchers involved in development of these resources as well as for scholars studying the Polish language of the 17th and 18th centuries.

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ATRIA

Conference proceedings 2019sions. The papers were organized in topical sections named: text classification; altmetrics; scholarly data analysis and recommendation; metadata and entities; digital libraries and digital archives management; multimedia processing; search engines; information extraction; and posters..

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Weakly-Supervised Neural Categorization of Wikipedia Articlesring. Neural models often need a large amount of labeled training documents. However, one category of Wikipedia does not contain enough articles for training. Weakly-supervised neural document classification can deal with situations even when only a small labeled document set is given. However, thes

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An Overview of Altmetrics Research: A Typology Approachon science, it is essential to understand the overview of altmetrics research. We extracted 731 altmetrics-related articles from the Scopus databases and adopted a text mining method (i.e., topic modeling) to develop a typology of altmetrics research. Six major themes were identified in our analysis

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User Motivation Classification and Comparison of Tweets Mentioning Research Articles in the Fields or holds more scholarly and scientific discussions than other social media platforms and is extensively used to discuss and share research articles by domain experts as well as by the general public. In this study, we have analyzed the motivations of people using Twitter as a medium to propagate the

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Understanding the Twitter Usage of Science Citation Index (SCI) Journals3,253 tweets extracted from 857 journal accounts, were analyzed in this study. Findings indicate that SCI journals interacted more with each other but much less with journals from other citation indices. The network structure of the communication graph resembled a tight crowd network, with Nature jo