@inproceedings{ca063615ccca4d9c8eb07d26509be7c3,
title = "Inferring user profile using microblog content and friendship network",
abstract = "With the rapid development of microblogs in recent years, accurate prediction of microblog user profiles is valuable for marketing, personalized recommendation, and legal investigation. Microblog users post rich contents everyday and build a complex friendship network with “following” behaviors. Both of user-generated content and friendship network are crucial for user profiling. In this work, we propose a neural-network based model for user profiling. It takes advantages of both user-generated content and friendship network with attentional multi-scale convolutional neural networks and graph embeddings. We evaluate our model on SMP CUP 2016 dataset whose task is to infer age, gender and region of microblog users. The experiment results show that utilizing information from user generated content and friend network, our method obtains the state-of-the-art performance on all of three sub-tasks.",
keywords = "Neural networks, Social network analysis, User profiling",
author = "Zhishan Zhao and Jiachen Du and Qinghong Gao and Lin Gui and Ruifeng Xu",
note = "Publisher Copyright: {\textcopyright} Springer Nature Singapore Pte Ltd. 2017.; 6th National Conference on Social Media Processing, SMP 2017 ; Conference date: 14-09-2017 Through 17-09-2017",
year = "2017",
doi = "10.1007/978-981-10-6805-8\_3",
language = "英语",
isbn = "9789811068041",
series = "Communications in Computer and Information Science",
publisher = "Springer Verlag",
pages = "29--39",
editor = "Huan Liu and Xing Xie and Xueqi Cheng and Huawei Shen and Weiying Ma and Shizheng Feng",
booktitle = "Social Media Processing - 6th National Conference, SMP 2017, Proceedings",
address = "德国",
}