http://dl.gi.de/handle/20.500.12116/25040 Tue, 21 Jul 2026 13:00:06 GMT 2026-07-21T13:00:06Z http://dl.gi.de:80/bitstream/id/8b093449-35a6-4b70-8d0e-c690477b57b7/ http://dl.gi.de/handle/20.500.12116/25040 http://dl.gi.de/handle/20.500.12116/25099 INFORMATIK 2019 - Komplettband Workshops Draude, Claude; Lange, Martin; Sick, Bernhard Tue, 01 Jan 2019 00:00:00 GMT http://dl.gi.de/handle/20.500.12116/25099 2019-01-01T00:00:00Z http://dl.gi.de/handle/20.500.12116/25101 Annotator-Centered Design: Towards a Tool for Sentiment and Emotion Annotation Schmidt, Thomas; Jakob, Marco; Wolff, Christian Draude, Claude; Lange, Martin; Sick, Bernhard We present a first prototype of the tool SentiAnno, which is an annotation tool specifically designed for sentiment and emotion annotation in structured written texts. To design this tool, we employ the user-centered design (UCD) framework and adapt it by focusing on the annotator, thus phrasing our development approach annotator-centered design. In iterative steps, we gather requirements and feedback from annotators as soon as possible in the development process via various usability engineering methods. We propose that this design process is especially beneficial for challenging and subjective annotation tasks like sentiment and emotion annotation of literary texts. We describe our first iterations and present results of the current prototype. We show how we were able to create functionalities facilitating the annotation process by applying this annotator-centered design approach. Tue, 01 Jan 2019 00:00:00 GMT http://dl.gi.de/handle/20.500.12116/25101 2019-01-01T00:00:00Z http://dl.gi.de/handle/20.500.12116/25100 Software Engineering in den Digital Humanities Burghardt, Manuel; Müller-Birn, Claudia Draude, Claude; Lange, Martin; Sick, Bernhard Tue, 01 Jan 2019 00:00:00 GMT http://dl.gi.de/handle/20.500.12116/25100 2019-01-01T00:00:00Z http://dl.gi.de/handle/20.500.12116/25102 Design patterns to improve Usability of Text Analytic Tools for Digital Humanists Nehring, Jan Draude, Claude; Lange, Martin; Sick, Bernhard Usability of text analytics tools is still a big issue. This paper presents design patterns for tooling for text analytics for Digital Humanities that are specially suited for users who don’t know how to program and therefore enhance usability especially for this target group. The first pattern evolves around availability of the system as a web API. Further we propose a clear and easy workflow to handle data formats because combining different NLP tools often requires significant and complicated work with data formats. Next we present a format to define workflows or NLP pipelines that are only possible because of the aforementioned principles. We suggest to enable clear workflows between programmers and non-programmers to make clear which tasks can be done with and without programming knowledge. Last we propose a system to allow for reuse of code. Tue, 01 Jan 2019 00:00:00 GMT http://dl.gi.de/handle/20.500.12116/25102 2019-01-01T00:00:00Z