A Construction of Knowledge Base for Personality Estimation based on Submitted Text Data in Twitter or Blogs

Noriyuki Okumura, Manabu Okumura

Abstract

The personality that is estimated based on documents of blogs or tweets in Twitter can not agree in the sender’s real personality. It is important that we recognize the difference between these estimated and real personalities. This paper constructs a knowledge-base for extracting the sender’s virtual personality in customer-generated media. We focus on sender’s emotions that are included in sender’s posts for automatic personality estimation. We examined the correlation between the ratio of each emotion term (anger, sadness, fear, disappointment, regret, guilt, shame, pleasure, and ease) in all sentences of each participant and the values of NEO-FFI (Extraversion, Agreeableness, Conscientiousness, Neuroticism, and Openness to Experience) based on the experiment that human subjects who stayed in each sender’s character answered to NEO-FFI.As an evaluation result, we find out that the sender’s virtual personality is potentially-correlated with emotions in sender’s posts.

References

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Paper Citation


in Harvard Style

Okumura N. and Okumura M. (2015). A Construction of Knowledge Base for Personality Estimation based on Submitted Text Data in Twitter or Blogs . In Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KEOD, (IC3K 2015) ISBN 978-989-758-158-8, pages 418-423. DOI: 10.5220/0005638704180423


in Bibtex Style

@conference{keod15,
author={Noriyuki Okumura and Manabu Okumura},
title={A Construction of Knowledge Base for Personality Estimation based on Submitted Text Data in Twitter or Blogs},
booktitle={Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KEOD, (IC3K 2015)},
year={2015},
pages={418-423},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005638704180423},
isbn={978-989-758-158-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KEOD, (IC3K 2015)
TI - A Construction of Knowledge Base for Personality Estimation based on Submitted Text Data in Twitter or Blogs
SN - 978-989-758-158-8
AU - Okumura N.
AU - Okumura M.
PY - 2015
SP - 418
EP - 423
DO - 10.5220/0005638704180423