{"id":843,"date":"2024-11-09T18:46:15","date_gmt":"2024-11-09T10:46:15","guid":{"rendered":"https:\/\/ainlp.tw\/?p=843"},"modified":"2024-11-12T09:14:29","modified_gmt":"2024-11-12T01:14:29","slug":"chinese-psychological-counseling-corpus-construction-for-valence-arousal-sentiment-intensity-prediction","status":"publish","type":"post","link":"https:\/\/ainlp.tw\/index.php\/2024\/11\/09\/chinese-psychological-counseling-corpus-construction-for-valence-arousal-sentiment-intensity-prediction\/","title":{"rendered":"Chinese Psychological Counseling Corpus Construction for Valence-Arousal Sentiment Intensity Prediction"},"content":{"rendered":"\n<p>Hsiu-Min Shih, Tzu-Mi Lin, Yu-Wen Tzeng, Jung-Ying Chang, Kuo-Kai Shyu, and Lung-Hao Lee<\/p>\n\n\n\n<p>In\u00a0<em>Proceedings of the 27th Conference of the Oriental COCOSDA<\/em>.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity is-style-wide\"\/>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p class=\"has-medium-font-size\"><strong>Abstract<\/strong><\/p>\n\n\n\n<p>While several dimensional sentiment resources with valence- arousal annotations exist, they are not appropriate for domain-specific sentiment applications, especially psychological counseling texts which usually contain more high-negative and high-arousal words and phrases. This study (1) builds a Chinese valence-arousal resource in the psychological counseling domain called CVAT-PC, the first text corpus including 2,400 multi-sentence texts for psychological counseling with valence-arousal ratings manually annotated based on the Self-Assessment Manikin (SAM) rating scale, and (2) evaluates the proposed resource using different transformer-based models, including ELECTRA, XLNet, BERT, MacBERT and RoBERTa. We plan to release the entire CVAT-PC corpus with fully annotated valence-arousal ratings to facilitate future development in related research areas.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Hsiu-Min Shih, Tzu-Mi Lin, Yu-Wen Tzeng, Jung-Ying Chang, Kuo-Kai Shyu, and Lung-Hao Lee<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_themeisle_gutenberg_block_has_review":false,"footnotes":""},"categories":[6],"tags":[33,43,47],"class_list":["post-843","post","type-post","status-publish","format-standard","hentry","category-achievements","tag-33","tag-emotion","tag-o-cocosda"],"blocksy_meta":[],"_links":{"self":[{"href":"https:\/\/ainlp.tw\/index.php\/wp-json\/wp\/v2\/posts\/843","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ainlp.tw\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/ainlp.tw\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/ainlp.tw\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/ainlp.tw\/index.php\/wp-json\/wp\/v2\/comments?post=843"}],"version-history":[{"count":2,"href":"https:\/\/ainlp.tw\/index.php\/wp-json\/wp\/v2\/posts\/843\/revisions"}],"predecessor-version":[{"id":845,"href":"https:\/\/ainlp.tw\/index.php\/wp-json\/wp\/v2\/posts\/843\/revisions\/845"}],"wp:attachment":[{"href":"https:\/\/ainlp.tw\/index.php\/wp-json\/wp\/v2\/media?parent=843"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ainlp.tw\/index.php\/wp-json\/wp\/v2\/categories?post=843"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ainlp.tw\/index.php\/wp-json\/wp\/v2\/tags?post=843"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}