The Bloggers' Personality Traits Categorizing Algorithm Based on Text Features Analysis

DOI

10.2991/icmemtc-16.2016.1How to use a DOI?

Keywords

Blog mining; text analysis; personality categorization.

Abstract

Nowadays, researches of blogs mining mainly concentrate on opinion mining, community mining, blogs recommendation system and so on, with little concentration on personalities mining. How to mine bloggers' personality accurately and effectively from the tremendous non-structural blog texts becomes a difficulty of blogs mining. This paper illustrates a research on categorizing bloggers' personalities based on the support vector machine(SVM), using the Big Five personality traits to categorize bloggers at Netease into two types of personalities, the extroverted personality and the introverted one, improving the results of categorization in the aspects of personality categorizing traits and approaches of traits selection and ultimately providing other researches about categorizing Chinese bloggers' personality traits with references.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Guohua Ou
AU  - Jingkai Li
AU  - Junjia Guo
AU  - Zhaoquan Cai
AU  - Mengping Lu
PY  - 2016/04
DA  - 2016/04
TI  - The Bloggers' Personality Traits Categorizing Algorithm Based on Text Features Analysis
BT  - Proceedings of the 2016 3rd International Conference on Materials Engineering, Manufacturing Technology and Control
PB  - Atlantis Press
SP  - 1
EP  - 6
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmemtc-16.2016.1
DO  - 10.2991/icmemtc-16.2016.1
ID  - Ou2016/04
ER  -