Semantic frames as an anchor representation for sentiment analysis
Semantic frames as an anchor representation for sentiment analysis
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语义框架作为情感分析的锚表示
DOI：
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发表时间：
2012
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通讯作者：
Ines Rehbein
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作者：
Josef Ruppenhofer;Ines Rehbein
当前情感分析工作的特点是注重实用的方法，为了稳健性而使用浅层技术，但通常依赖于数据集和方法的临时创建。我们认为，深度分析的进展取决于：a）通过语言驱动的丰富信息来丰富浅层表征；b）聚焦不同的研究分支并结合资源，以与 NLP 相关工作产生协同效应。在本文中，我们提出了 SentiFrameNet（FrameNet 的扩展），作为针对这些目标量身定制的情感分析的新颖表示。
Current work on sentiment analysis is characterized by approaches with a pragmatic focus, which use shallow techniques in the interest of robustness but often rely on ad-hoc creation of data sets and methods. We argue that progress towards deep analysis depends on a) enriching shallow representations with linguistically motivated, rich information, and b) focussing different branches of research and combining ressources to create synergies with related work in NLP. In the paper, we propose SentiFrameNet, an extension to FrameNet, as a novel representation for sentiment analysis that is tailored to these aims.