Scalable Visualisation of Sentiment and Stance
Scalable Visualisation of Sentiment and Stance
复制标题
情绪和立场的可扩展可视化
DOI：
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发表时间：
2018
期刊：
影响因子：
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通讯作者：
O. Hoeber
中科院分区：
文献类型：
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作者：
Jon Chamberlain;Udo Kruschwitz;O. Hoeber
自然语言处理系统不仅能够分析人类语言的情感，还能够分析说话者的立场。从分布不均匀和可能稀疏的数据集中直观地表示这些信息是具有挑战性的，特别是在试图促进探索和知识发现时。我们提出了一种新的可视化方法，可扩展的可视化的情绪和立场，并提供了一个语言资源的电子政务公众参与的9,278用户评论的立场明确宣布的作者。
Natural language processing systems have the ability to analyse not only the sentiment of human language, but also the stance of the speaker. Representing this information visually from unevenly distributed and potentially sparse datasets is challenging, in particular when trying to facilitate exploration and knowledge discovery. We present work on a novel visualisation approach for scalable visualisation of sentiment and stance and provide a language resource of e-government public engagement of 9,278 user comments with stance explicitly declared by the author.