@inproceedings{iwai-etal-2020-development,
title = "Development of a {J}apanese Personality Dictionary based on Psychological Methods",
author = "Iwai, Ritsuko and
Kawahara, Daisuke and
Kumada, Takatsune and
Kurohashi, Sadao",
booktitle = "Proceedings of the 12th Language Resources and Evaluation Conference",
month = may,
year = "2020",
address = "Marseille, France",
publisher = "European Language Resources Association",
url = "https://aclanthology.org/2020.lrec-1.379",
pages = "3103--3108",
abstract = "We propose a new approach to constructing a personality dictionary with psychological evidence. In this study, we collect personality words, using word embeddings, and construct a personality dictionary with weights for Big Five traits. The weights are calculated based on the responses of the large sample (N=1,938, female = 1,004, M=49.8years old:20-78, SD=16.3). All the respondents answered a 20-item personality questionnaire and 537 personality items derived from word embeddings. We present the procedures to examine the qualities of responses with psychological methods and to calculate the weights. These result in a personality dictionary with two sub-dictionaries. We also discuss an application of the acquired resources.",
language = "English",
ISBN = "979-10-95546-34-4",
}
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%0 Conference Proceedings
%T Development of a Japanese Personality Dictionary based on Psychological Methods
%A Iwai, Ritsuko
%A Kawahara, Daisuke
%A Kumada, Takatsune
%A Kurohashi, Sadao
%S Proceedings of the 12th Language Resources and Evaluation Conference
%D 2020
%8 may
%I European Language Resources Association
%C Marseille, France
%@ 979-10-95546-34-4
%G English
%F iwai-etal-2020-development
%X We propose a new approach to constructing a personality dictionary with psychological evidence. In this study, we collect personality words, using word embeddings, and construct a personality dictionary with weights for Big Five traits. The weights are calculated based on the responses of the large sample (N=1,938, female = 1,004, M=49.8years old:20-78, SD=16.3). All the respondents answered a 20-item personality questionnaire and 537 personality items derived from word embeddings. We present the procedures to examine the qualities of responses with psychological methods and to calculate the weights. These result in a personality dictionary with two sub-dictionaries. We also discuss an application of the acquired resources.
%U https://aclanthology.org/2020.lrec-1.379
%P 3103-3108
Markdown (Informal)
[Development of a Japanese Personality Dictionary based on Psychological Methods](https://aclanthology.org/2020.lrec-1.379) (Iwai et al., LREC 2020)
ACL