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The Development of the Chinese Sentiment Lexicon for Internet
This paper examines the development of the Chinese Sentiment Lexicon for Internet (CSLI), a sentiment lexicon for capturing the valence and arousal in Chinese online social media texts. We first review the current sentiment lexicons and their building process, including the collection of words, judg...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6848272/ https://www.ncbi.nlm.nih.gov/pubmed/31749746 http://dx.doi.org/10.3389/fpsyg.2019.02473 |
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author | Zhao, Jia-Lin Li, Meng-Zhu Yao, Juan Qin, Ge-Hua |
author_facet | Zhao, Jia-Lin Li, Meng-Zhu Yao, Juan Qin, Ge-Hua |
author_sort | Zhao, Jia-Lin |
collection | PubMed |
description | This paper examines the development of the Chinese Sentiment Lexicon for Internet (CSLI), a sentiment lexicon for capturing the valence and arousal in Chinese online social media texts. We first review the current sentiment lexicons and their building process, including the collection of words, judging the emotionality of words, and testing reliability and validity. In Study 1, we develop CSLI and test its initial reliability and validity. In Study 2, we further test the convergent validity of CSLI by examining its correlations with human judgment in 429 aggregated Weibo comments. In Study 3, the predictive validity of CSLI is examined by linking its results to personality traits among 52 undergraduates. Two replication studies are also conducted to verify the findings in Study 2 and 3. The results have generally supported the reliability and validity of CSLI. Therefore, CSLI can be used as a research tool to capture the degree of valence and arousal in Chinese online social media texts. Its potential to promote human well-being is also discussed. |
format | Online Article Text |
id | pubmed-6848272 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-68482722019-11-20 The Development of the Chinese Sentiment Lexicon for Internet Zhao, Jia-Lin Li, Meng-Zhu Yao, Juan Qin, Ge-Hua Front Psychol Psychology This paper examines the development of the Chinese Sentiment Lexicon for Internet (CSLI), a sentiment lexicon for capturing the valence and arousal in Chinese online social media texts. We first review the current sentiment lexicons and their building process, including the collection of words, judging the emotionality of words, and testing reliability and validity. In Study 1, we develop CSLI and test its initial reliability and validity. In Study 2, we further test the convergent validity of CSLI by examining its correlations with human judgment in 429 aggregated Weibo comments. In Study 3, the predictive validity of CSLI is examined by linking its results to personality traits among 52 undergraduates. Two replication studies are also conducted to verify the findings in Study 2 and 3. The results have generally supported the reliability and validity of CSLI. Therefore, CSLI can be used as a research tool to capture the degree of valence and arousal in Chinese online social media texts. Its potential to promote human well-being is also discussed. Frontiers Media S.A. 2019-11-05 /pmc/articles/PMC6848272/ /pubmed/31749746 http://dx.doi.org/10.3389/fpsyg.2019.02473 Text en Copyright © 2019 Zhao, Li, Yao and Qin. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Psychology Zhao, Jia-Lin Li, Meng-Zhu Yao, Juan Qin, Ge-Hua The Development of the Chinese Sentiment Lexicon for Internet |
title | The Development of the Chinese Sentiment Lexicon for Internet |
title_full | The Development of the Chinese Sentiment Lexicon for Internet |
title_fullStr | The Development of the Chinese Sentiment Lexicon for Internet |
title_full_unstemmed | The Development of the Chinese Sentiment Lexicon for Internet |
title_short | The Development of the Chinese Sentiment Lexicon for Internet |
title_sort | development of the chinese sentiment lexicon for internet |
topic | Psychology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6848272/ https://www.ncbi.nlm.nih.gov/pubmed/31749746 http://dx.doi.org/10.3389/fpsyg.2019.02473 |
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