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Proceedings of the LREC 2018 workshop. 1st workshop on computational impact detection from text data. 08 May 2018 – Miyazaki, Japan

  • How can we measure the impact – such as awareness for economic, ecological, and political matters – of information, such as scientific publications, user-generated content, and reports from the public administration, based on text data? This workshop brings together research from different theoretical paradigms and methodologies for the extraction of impact-relevant indicators from natural language text data and related meta-data. The papers in this workshop represent different types of expertise in different methods for analyzing text data; spanning the whole spectrum of qualitative, quantitative, and mixed methods techniques, as well as domain expertise in the field of impact measurement. The program was built to create an interdisciplinary half-day workshop where we discuss possibilities, limitations, and synergistic effects of different approaches.

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Publisher:European language resources association (ELRA)
Place of publication:Paris, France
Editor:Jana Diesner, Georg Rehm, Andreas Witt
Document Type:Book
Year of first Publication:2018
Date of Publication (online):2018/05/18
Tag:impact categories; impact indicator
GND Keyword:Computerlinguistik
Page Number:VI, 39
DDC classes:400 Sprache / 400 Sprache, Linguistik
Open Access?:ja
Leibniz-Classification:Sprache, Linguistik
Program areas:Digitale Sprachwissenschaft
Licence (English):License LogoCreative Commons - Attribution-NonCommercial 4.0 International