Paper Info
Title
Clustering based personality prediction on turkish tweets.
Abstract
In this paper, we present a framework for predicting the personality traits by analyzing tweets written in Turkish. The prediction model is constructed with a clustering based approach. Since the model is based on linguistic features, it is language specific. The prediction model uses features applicable to Turkish language and related to writing style of Turkish Twitter users. Our approach uses anonymous BIG5 questionnaire scores of volunteer participants as the ground truth in order to generate personality model from Twitter posts. Experiment results show that constructed model can predict personality traits of Turkish Twitter users with relatively small errors.
Year
DOI
Venue
2019
10.1145/3341161.3343513
ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining Vancouver British Columbia Canada August, 2019
Keywords
Field
DocType
personality analysis, text mining, clustering, Twitter
Turkish,Computer science,Personality prediction,Artificial intelligence,Cluster analysis,Machine learning
Conference
ISBN
Citations 
PageRank 
978-1-4503-6868-1
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Esen Tutaysalgir100.34
Pinar Karagoz215428.34
Ismail Hakki Toroslu3456102.80