@inproceedings{iwanari-etal-2016-kotonush,
title = "{K}otonush: Understanding Concepts Based on Values behind Social Media",
author = "Iwanari, Tatsuya and
Ohara, Kohei and
Yoshinaga, Naoki and
Kaji, Nobuhiro and
Toyoda, Masashi and
Kitsuregawa, Masaru",
editor = "Watanabe, Hideo",
booktitle = "Proceedings of {COLING} 2016, the 26th International Conference on Computational Linguistics: System Demonstrations",
month = dec,
year = "2016",
address = "Osaka, Japan",
publisher = "The COLING 2016 Organizing Committee",
url = "https://aclanthology.org/C16-2061",
pages = "292--296",
abstract = "Kotonush, a system that clarifies people{'}s values on various concepts on the basis of what they write about on social media, is presented. The values are represented by ordering sets of concepts (e.g., London, Berlin, and Rome) in accordance with a common attribute intensity expressed by an adjective (e.g., entertaining). We exploit social media text written by different demographics and at different times in order to induce specific orderings for comparison. The system combines a text-to-ordering module with an interactive querying interface enabled by massive hyponymy relations and provides mechanisms to compare the induced orderings from various viewpoints. We empirically evaluate Kotonush and present some case studies, featuring real-world concept orderings with different domains on Twitter, to demonstrate the usefulness of our system.",
}
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<abstract>Kotonush, a system that clarifies people’s values on various concepts on the basis of what they write about on social media, is presented. The values are represented by ordering sets of concepts (e.g., London, Berlin, and Rome) in accordance with a common attribute intensity expressed by an adjective (e.g., entertaining). We exploit social media text written by different demographics and at different times in order to induce specific orderings for comparison. The system combines a text-to-ordering module with an interactive querying interface enabled by massive hyponymy relations and provides mechanisms to compare the induced orderings from various viewpoints. We empirically evaluate Kotonush and present some case studies, featuring real-world concept orderings with different domains on Twitter, to demonstrate the usefulness of our system.</abstract>
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%0 Conference Proceedings
%T Kotonush: Understanding Concepts Based on Values behind Social Media
%A Iwanari, Tatsuya
%A Ohara, Kohei
%A Yoshinaga, Naoki
%A Kaji, Nobuhiro
%A Toyoda, Masashi
%A Kitsuregawa, Masaru
%Y Watanabe, Hideo
%S Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: System Demonstrations
%D 2016
%8 December
%I The COLING 2016 Organizing Committee
%C Osaka, Japan
%F iwanari-etal-2016-kotonush
%X Kotonush, a system that clarifies people’s values on various concepts on the basis of what they write about on social media, is presented. The values are represented by ordering sets of concepts (e.g., London, Berlin, and Rome) in accordance with a common attribute intensity expressed by an adjective (e.g., entertaining). We exploit social media text written by different demographics and at different times in order to induce specific orderings for comparison. The system combines a text-to-ordering module with an interactive querying interface enabled by massive hyponymy relations and provides mechanisms to compare the induced orderings from various viewpoints. We empirically evaluate Kotonush and present some case studies, featuring real-world concept orderings with different domains on Twitter, to demonstrate the usefulness of our system.
%U https://aclanthology.org/C16-2061
%P 292-296
Markdown (Informal)
[Kotonush: Understanding Concepts Based on Values behind Social Media](https://aclanthology.org/C16-2061) (Iwanari et al., COLING 2016)
ACL
- Tatsuya Iwanari, Kohei Ohara, Naoki Yoshinaga, Nobuhiro Kaji, Masashi Toyoda, and Masaru Kitsuregawa. 2016. Kotonush: Understanding Concepts Based on Values behind Social Media. In Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: System Demonstrations, pages 292–296, Osaka, Japan. The COLING 2016 Organizing Committee.