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Titlebook: Semantic Technology; 7th Joint Internatio Zhe Wang,Anni-Yasmin Turhan,Xiaowang Zhang Conference proceedings 2017 Springer International Pub

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樓主: MOURN
61#
發(fā)表于 2025-4-1 02:44:51 | 只看該作者
62#
發(fā)表于 2025-4-1 09:27:11 | 只看該作者
A New Sentiment and Topic Model for Short Texts on Social Media various topics. Joint sentiment/topic models are widely applied in detecting sentiment-aware topics on the lengthy documents. However, the characteristics of posts, i.e., short texts, on social media pose new challenges: (1) context sparsity problem of posts makes traditional sentiment-topic models
63#
發(fā)表于 2025-4-1 13:46:27 | 只看該作者
Semi-supervised Stance-Topic Model for Stance Classification on Social Mediamedia, such as Sina Weibo, reflects the general public’s stances towards different issues. Detecting and summarizing stances towards specific issues from social media is an important and challenging task. Although stance detection on social media has been studied before, previous work, most of which
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