Managing Multi-Lingual User Feedback: The SUPERSEDE Project Experience

Context & Motivation] In the SUPERSEDE project, methods and tools have been developed to collect and analyze user feedback, to identify relevant information for deciding which are the most impor- tant requirements to be considered for the next release of a product. [Question/problem] Even if the project proposal was to analyze feed- back in the English language only, later it emerged that there was a need to analyze multi-lingual (German, English) feedback. [Principal ideas] We considered two different solutions: 1) translating user feed- back from German to English, and processing it with the techniques developed for the English language; 2) exploiting Natural Language Processing (NLP) techniques for German to analyze directly the feed- back in German. [Contribution] In this short report we describe this project experience, summarizing main commonalities and differences between the aforementioned solutions.