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Dictionary-Based Problem Phrase Extraction from User Reviews

机译:从用户评论中提取基于字典的问题短语

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This paper describes a system for problem phrase extraction from texts that contain users' reviews of products. In contrast to recent works, this system is based on dictionaries and heuristics, not a machine learning algorithms. We explored two approaches to dictionary construction: manual and automatic. We evaluated the system on a dataset constructed using Amazon Mechanical Turk. Performance values are compared to a machine learning baseline.
机译:本文介绍了一种用于从包含用户对产品的评论的文本中提取问题短语的系统。与最近的工作相比,该系统基于字典和启发式方法,而不是机器学习算法。我们探索了两种构建字典的方法:手动和自动。我们在使用Amazon Mechanical Turk构建的数据集上评估了系统。将性能值与机器学习基准进行比较。

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