1. 25 Tweets to Know You: A New Model to Predict Personality with Social Media
- Author
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Arnoux, Pierre-Hadrien, Xu, Anbang, Boyette, Neil, Mahmud, Jalal, Akkiraju, Rama, and Sinha, Vibha
- Subjects
Computer Science - Social and Information Networks ,Computer Science - Artificial Intelligence ,Computer Science - Computation and Language ,Computer Science - Human-Computer Interaction - Abstract
Predicting personality is essential for social applications supporting human-centered activities, yet prior modeling methods with users written text require too much input data to be realistically used in the context of social media. In this work, we aim to drastically reduce the data requirement for personality modeling and develop a model that is applicable to most users on Twitter. Our model integrates Word Embedding features with Gaussian Processes regression. Based on the evaluation of over 1.3K users on Twitter, we find that our model achieves comparable or better accuracy than state of the art techniques with 8 times fewer data., Comment: Accepted as a short paper at ICWSM 2017. Please cite the ICWSM version and not the ArXiv version
- Published
- 2017