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

摘要

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.