Predicting Personality with Twitter Data and Machine Learning Models

被引：2

作者：

Ergu, Izel ^{[1
]}

Isik, Zerrin ^{[1
]}

Yankayis, Ismail ^{[1
]}

机构：

[1] Dokuz Eylul Univ, Comp Engn Dept, Izmir, Turkey

来源：

2019 INNOVATIONS IN INTELLIGENT SYSTEMS AND APPLICATIONS CONFERENCE (ASYU) | 2019年

关键词：

social media; Twitter; personality; machine learning; Turkish text;

D O I：

10.1109/asyu48272.2019.8946355

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This study applies personality prediction of a Twitter user based on the words used in tweets posted by the user. The personality type is predicted based on Big Five Personality Model that outputs agreeableness, conscientiousness, openness, neuroticism, and extraversion as personality traits. We analyzed Turkish words for prediction, prepared a new dictionary that includes Turkish words with their special word groups. The most successful machine learning methods are selected to predict each personality trait. When the machine learning models were trained with the latest 50 tweets of users, models estimated each personality trait with the accuracy values in the range of 0.76 to 0.97.

引用

页码：386 / 390

页数：5

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