The Culture and Emotion Lab led by Prof. Jeanne Tsai at the Stanford Psychology Department (https://culture-emotion-lab.stanford.edu/) is looking for student collaborators to join a new research project. This project is focused on building a Chinese version of SentiStrength to do sentiment analysis with Chinese social media texts.
The student collaborator will help by rating Chinese social media posts for their positive and negative emotional tone. This is an essential part of our project, as it helps us train and test the accuracy of our sentiment analysis algorithm. You will also have opportunities to be involved in the building of our sentiment analysis NLP program.
We're looking for a potential research teammate who meets the following criteria:
1. Fluent/Native in Mandarin reading, and at least somewhat familiar with Chinese internet language and popular culture.
2. Patient, collaborative, and detail-oriented. You'll be working with other members of the team to rate many posts, and we will be adjusting and improving our rating process together.
3. A background in psychology, linguistics, or coding classes or research is a plus, but not required.
This position is paid on an hourly basis, or you can elect to receive course credits (1 unit for 3 hours of work a week). Work will begin late summer or early fall.
To apply, please send your resume to the lab manager, Angela Yang (ayang22@stanford.edu). Feel free to reach out as well with any questions!
The student collaborator will help by rating Chinese social media posts for their positive and negative emotional tone. This is an essential part of our project, as it helps us train and test the accuracy of our sentiment analysis algorithm. You will also have opportunities to be involved in the building of our sentiment analysis NLP program.
We're looking for a potential research teammate who meets the following criteria:
1. Fluent/Native in Mandarin reading, and at least somewhat familiar with Chinese internet language and popular culture.
2. Patient, collaborative, and detail-oriented. You'll be working with other members of the team to rate many posts, and we will be adjusting and improving our rating process together.
3. A background in psychology, linguistics, or coding classes or research is a plus, but not required.
This position is paid on an hourly basis, or you can elect to receive course credits (1 unit for 3 hours of work a week). Work will begin late summer or early fall.
To apply, please send your resume to the lab manager, Angela Yang (ayang22@stanford.edu). Feel free to reach out as well with any questions!