Titulo Estágio
Opinion mining and sentiment analysis for User Experience (UX)
Áreas de especialidade
Sistemas de Informação
Sistemas Inteligentes
Local do Estágio
DEI-FCTUC
Enquadramento
Over the last decade several text mining techniques have been applied in large textual dataset to help identify relevant concepts, as well the relations between them. These automatic and semi-automatic methodologies have also been applied to identify opinions and sentiments from public fora. Focusing on the Human-Computer Interaction area, they have the potential to continuously monitor the users’ perception about technology and new systems, namely technology-enabled solutions for health, such as games for health.
Objetivo
An opinion mining methodology has been produced that automatically analyses comments posted by users on YouTube about the Just Dance game. Leveraging this preliminary opinion mining and sentiment analysis methodology, the goal of this dissertation is to improve and further develop the methodology and to apply it to new cases of study.
Plano de Trabalhos - Semestre 1
- Literature review and state of the art
- Identification of the source of information from which user experience (UX) comments will be extracted (e.g., Twitter, YouTube, Reddit,...)
- Selection of the product to be analysed and used as a case study (e.g. commercial game, exergame or another game for health)
- Writing the initial chapters of the dissertation
Plano de Trabalhos - Semestre 2
- Application of the existent opinion mining and sentiment analysis methodology to the new case study and further development of the methodology
- Validation and analysis of results
- Review the initial chapter of the thesis (if needed) and write the remaining chapters of the dissertation
Condições
- Good proficiency in python programming
- Previous experience in information extraction and text mining
Observações
References:
S. Hedegaard and J G. Simonsen, "Extracting usability and user experience information from online user reviews", SIGCHI Conference on Human Factors in Computing Systems, ACM, pp. 2089–2098. https://doi.org/10.1145/2470654.2481286
R. Santos, J. P. Arrais and P. A. Silva, "Analysing Games for Health through Users' Opinion Mining", 2021 IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS 2021), 2021, pp. 319-323. doi: 10.1109/CBMS52027.2021.00035.
P. A. Silva and R. Santos, "Setting Up a Health-related Quality of Life Vocabulary", 2021 International Conference on Multimodal Interaction (ICMI'21), 2021, pp. 169–175, ACM. https://doi.org/10.1145/3461615.3485401
Orientador
DEI | CISUC, University of Coimbra
paulasilva@dei.uc.pt 📩