Pustulka, Elzbieta

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Pustulka
Vorname
Elzbieta
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Pustulka, Elzbieta

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2018 - 20194
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Enddatum: 2019 × Dateien dazu vorhanden?: Nein ×

Suchergebnisse

Gerade angezeigt 1 - 4 von 4
  • Vorschaubild nicht verfügbar
    Publikation
    Sentiment analysis for a swiss gig platform company
    (2019) Pustulka, Elzbieta; Hanne, Thomas
    We work with a Swiss Gig Platform Company to identify innovative solutions which could strengthen its position as a market leader in Switzerland and Europe. The company mediates between employers and employees in short term work contracts via a platform system. We first looked at the business processes and saw that some process parts were not being controlled by the company, which is now being remedied. Second, we analyzed the job reviews which the employers and employees write, and implemented a prototype which can detect negative statements automatically, even if the review is positive overall. We worked with a dataset of 963 job reviews from employers and employees, in German, French and English. The reviews have a star rating (1 to 4 stars), with some discrepancies between the star rating and the text. We scored the reviews manually as negative or other, as negative reviews are important for business improvement. We tested several machine learning methods and a hybrid method from Lexalytics.
    06 - Präsentation
  • Vorschaubild nicht verfügbar
    Publikation
    A game teaching population based optimization using teaching-learning-based optimization
    (2019) Pustulka, Elzbieta; Hanne, Thomas; Richard, Wetzel; Egemen, Kaba; Benjamin, Adriaensen; Stefan, Eggenschwiler; Adriaensen, Benjamin [in: GSGS'19. 4th Gamification & Serious Game Symposium]
    We want to lower the entry barrier to optimization courses. To that aim, we deployed a game prototype and tested it with students who had no previous optimization experience. We found out that the prototype led to an increased student motivation, an intuitive understanding of the principles of optimization, and a strong interaction in a team. We will build on this experience to develop further games for classroom use.
    04B - Beitrag Konferenzschrift
  • Vorschaubild nicht verfügbar
    Publikation
    An experiment with an optimization game
    (2019) Pustulka, Elzbieta; Hanne, Thomas; Adriaensen, Benjamin; Eggenschwiler, Stefan; Kaba, Egemen; Wetzel, Richard; Blashki, Katherine; Xiao, Yingcai [in: IADIS International Conference Interfaces and Human Computer Interaction 2019 (part of MCCSIS 2019)]
    We aim to improve the teaching of the principles of optimization, including computational intelligence (CI), to a mixed audience of business and computer science students. Our students do not always have sufficient programming or mathematics experience and may be put off by the expected difficulty of the course. In this context we are testing the potential of games in teaching. We deployed a game prototype (design probe) and found out that the prototype led to increased student motivation, intuitive understanding of the principles of optimization, and strong interaction in a team. Ultimately, with the future work we sketch out, this novel approach could improve the learning and understanding of optimization algorithms and CI in general, contributing to the future of Explainable AI (XAI).
    04B - Beitrag Konferenzschrift
  • Vorschaubild nicht verfügbar
    Publikation
    Identifikation von Meinungsrobotern
    (Fachhochschule Nordwestschweiz FHNW, 2018) Gürtler, Stefan; Bendel, Oliver; Pustulka, Elzbieta; Binz, Mathias; Heimsch, Fabian
    Der Bericht des Bundesrats «Rechtliche Basis für Social Media» (Bundesrat 2017) stellt fest, dass soziale Medien bei der öffentlichen Meinungsbildung an Bedeutung gewinnen und parallel dazu eine «zunehmende Beeinflussung bzw. Manipulation des politischen Diskurses» stattfindet. Gemeint sind insbesondere Meinungsroboter (als Vertreter der Social Bots), welche durch maschinelle Kommunikation die Themenagenda beeinflussen, Diskussionsgruppen infiltrieren und Nutzerprofile sabotieren. Die Hasler-Stiftung wurde zum Jahreswechsel 2017/18 darum gebeten, das Projekt «Identifikation von Meinungsrobotern» zu unterstützen. Informations- und Meinungsroboter werden, so die Argumentation ihr gegenüber, die Informationsflüsse einer Gesellschaft nachhaltig beeinflussen und verändern – nicht nur in der Politik. Ihre Aktivitäten zu erkennen, zu verstehen und zu bewerten gilt als notwendige Voraussetzung, um ihre Spielräume zu definieren und zu begrenzen.
    05 - Forschungs- oder Arbeitsbericht