User Profile Mining through Linguistic Feature
Specialty of Social Media Language
- 10.2991/assehr.k.220504.132How to use a DOI?
- Social media; Language; Data Mining; Personality
Internet and social media usage have reached previously unheard-of levels in recent years. People express their opinions, share feelings, and reflect on news and current affairs on social media. The abundant conversation and expression that took place in those platforms contain valuable linguistic feature which helps researchers study people’s social behavior and mining user’s profile. This study summarizes previous studies and approaches to understand and analyze linguistic feature in social media. The study also highlights some valuable, meaningful, and accessible linguistic features that researchers should extract from messy information. The paper finds that social media language is more causal than the speaking and writing language, and contain more feature such as emoji, hashtags and URL which can contribute to user profile mining.
- © 2022 The Authors. Published by Atlantis Press SARL.
- Open Access
- This is an open access article distributed under the CC BY-NC 4.0 license.
Cite this article
TY - CONF AU - Miaomiao Yu PY - 2022 DA - 2022/06/01 TI - User Profile Mining through Linguistic Feature BT - Proceedings of the 2022 8th International Conference on Humanities and Social Science Research (ICHSSR 2022) PB - Atlantis Press SP - 715 EP - 719 SN - 2352-5398 UR - https://doi.org/10.2991/assehr.k.220504.132 DO - 10.2991/assehr.k.220504.132 ID - Yu2022 ER -