|Goals:||Develop guidelines for designing a crowdsourcing task for textual emotion annotation.|
|Responsible TA:||Valentina Sintsova|
|Student Name:||Not assigned yet|
|Keywords:||Emotion Annotation, Crowdsourcing, Design Guidelines, Design Recommendations, Task Design|
Annotation of emotions in collected text documents is an essential step for developing the reliable emotion classification system. It can serve as the ground-truth for training and/or testing emotion recognition models. Current crowdsourcing approaches involve annotation of text documents for emotions and emotion indicators. Yet, subjectivity in understanding of the emotion concept and lack of clear instructions may result in high inconsistency of collected data. There is a need to elaborate the appropriate design guidelines in order to ensure the collection high-quality annotations.
The responsible student will:
|Related Skills:||Strong analytical skills; Statistical analysis; Interest in Crowdsourcing, Qualitative Research, and Human-Computer Interaction Design|
|Suitable for:||Bachelor or Master Student|