Hardt Daniel
Associate professor
Department of Digitalization
Copenhagen Business Academy
Denmark
Biography
"Dr. Hardt Daniel is working as a professor in The Department of Digitalization at Copenhagen Business School, Denmark. My research deals with language from a theoretical and practical point of view. My main theoretical interests involve the formal mechanisms underlying the construction of meaning in language. This involves the interface between syntax and semantics in individual sentences, and the relations between sentences in discourse. This theoretical work provides the underpinning for topics of practical interest to business and society: in particular, automatic translation, sentiment analysis, and social media analytics."
Research Interest
"Business and management, Computational linguistics Theoretical linguistics Social media analytics Automatic translation Sentiment analysis"
Publications
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" Julie Wulff; Daniel Hardt / Can you Trust Online Ratings? : Evidence of Systematic Differences in User Populations. In: ECIS 2014 Proceedings. ed. /Michel Avital; Jan Marco Leimeister; Ulrike Schultze. Atlanta, GA : Association for Information Systems. AIS Electronic Library (AISeL) 2014 (Proceedings / European Conference on Information Systems (ECIS))"
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"Chris Zimmerman; Mari-Klara Stein; Daniel Hardt; Christian de Fries Danielsen; Ravi Vatrapu / emotionVis : Designing an Emotion Text Inference Tool for Visual Analytics. In: Tackling Society’s Grand Challenges with Design Science: Proceedings of the 11th International Conference, DESRIST 2016. . ed. /Jeffrey Parsons; Tuure Tuunanen; John Venable; Brian Donnellan; Markus Helfert; Jim Kenneally. Chams : Springer Science+Business Media B.V. 2016, p. 238–244 (Lecture Notes in Computer Science, Vol. 9661)"
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" Pranav Anand; Daniel Hardt / Antecedent Selection for Sluicing : Structure and Content. In: Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing. ed. /Jian Su; Kevin Duh; Xavier Carreras. Austin : Association for Computational Linguistics 2016, p. 1234-1243"
