Titulo Estágio
Opinion mining and sentiment analysis for User Experience (UX)
Áreas de especialidade
Sistemas de Informação
Sistemas Inteligentes
Local do Estágio
DEI
Enquadramento
Over the last decade, several text mining techniques have been applied in large textual datasets to help identify relevant concepts, as well as the relations between them. These automatic and semi-automatic methodologies have also been used 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 of 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, this dissertation aims to improve and further develop the methodology and 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,...)
Identification of the user interface to be studied and used as a case study(e.g. another game or game for health
Writing the initial chapters of the dissertation
Plano de Trabalhos - Semestre 2
Application and further development of the existent opinion mining and sentiment analysis 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/java programming is key. Previous experience in information extraction and text mining is also a plus.
Observações
Students are encouraged to send an email to the supervisor before applying for the project. Feel free to include your CV and state your skills in any of the following fields: Human-Computer Interaction Design, Text mining, and Machine Learning.
References:
Steffen Hedegaard and Jakob Grue Simonsen. 2013. Extracting usability and user experience information from online user reviews. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ACM, Paris France, 2089–2098. https://doi.org/10.1145/2470654.2481286
Silva, P. A., & Santos, R. (2022). An opinion mining methodology to analyse games for health. Multimedia Tools and Applications. https://doi.org/10.1007/s11042-022-14070-w
Silva, P. A., & Santos, R. (2023). An opinion mining methodology to analyse games for health. Multimedia Tools and Applications, 82(9), 12957–12976. https://doi.org/10.1007/s11042-022-14070-w
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, pp. 319-323, doi: 10.1109/CBMS52027.2021.00035.
Orientador
Paula Alexandra Silva
paulasilva@dei.uc.pt 📩