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Predicting Big-Five Personality for Micro-blog Based on Robust Multi-task Learning

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Data Science (ICPCSEE 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 727))

Abstract

Personality prediction on social network has become a hot topic. At present, most studies are using single-task classification/regression machine learning. However, this method ignores the potential association between multiple tasks. Also an ideal prediction result is difficult to achieve based on the small scale training data, since it is not easy to get a lot of social network data with personality label samples. In this paper, a robust multi-task learning method (RMTL) is proposed to predict Big-Five personality on Micro-blog. We aim to learn five tasks simultaneously by extracting and utilizing appropriate shared information among multiple tasks as well as identifying irrelevant tasks. For a set of Sina Micro-blog users’ information and personality labeled data retrieved by questionnaire, we validate the RMTL method by comparing it with 4 single-task learning methods and the mere multi-task learning. Our experiment demonstrates that the proposed RMTL can improve the precision rate, recall rate of the prediction and F value.

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Acknowledgement

The author would like to thank the anonymous reviewers for their valuable comments. This work is supported by the National Natural Science Foundation of China (Grant Number: 61602491). We also would like to thank the Institute of Psychology, Chinese Academy of Sciences for generously supporting our research.

Author information

Authors and Affiliations

  1. Hefei Electronic Engineering Institute, Hefei, 230037, China

    Shuguang Huang & Jinghua Zheng

  2. PLA University of Science and Technology, Nanjing, China

    Di Xue

  3. CAS Institute of Psychology, Beijing, China

    Nan Zhao

Authors
  1. Shuguang Huang
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  2. Jinghua Zheng
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  3. Di Xue
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  4. Nan Zhao
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Corresponding author

Correspondence to Jinghua Zheng .

Editor information

Editors and Affiliations

  1. Central South University, Changsha, China

    Beiji Zou

  2. Central South University, Changsha, China

    Min Li

  3. Harbin Institute of Technology, Harbin, China

    Hongzhi Wang

  4. Harbin University of Science and Technology, Harbin, China

    Xianhua Song

  5. Harbin University of Science and Technology, Harbin, China

    Wei Xie

  6. Harbin Sea of Clouds and Computer Technology, Harbin, China

    Zeguang Lu

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Huang, S., Zheng, J., Xue, D., Zhao, N. (2017). Predicting Big-Five Personality for Micro-blog Based on Robust Multi-task Learning. In: Zou, B., Li, M., Wang, H., Song, X., Xie, W., Lu, Z. (eds) Data Science. ICPCSEE 2017. Communications in Computer and Information Science, vol 727. Springer, Singapore. https://doi.org/10.1007/978-981-10-6385-5_41

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  • DOI: https://doi.org/10.1007/978-981-10-6385-5_41

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-6384-8

  • Online ISBN: 978-981-10-6385-5

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