Datasets for Aspect-Based Sentiment Analysis in French
Datasets for Aspect-Based Sentiment Analysis in French
复制标题
法语基于方面的情感分析数据集
DOI：
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发表时间：
2016
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通讯作者：
Cécile Richart
中科院分区：
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作者：
Marianna Apidianaki;Xavier Tannier;Cécile Richart
基于方面的情感分析（Aspect Based Sentiment Analysis，ABSA）是从文本中挖掘和总结关于特定实体及其方面的观点的任务。本文介绍了两个数据集的开发和测试的ABSA系统为法国，其中包括用户评论注释相关的实体，方面和极性值。第一个数据集包含457条餐厅评论（2365句），用于训练和测试ABSA系统，而第二个数据集包含162条博物馆评论（655句），用于域外评估。这两个数据集都是作为SemEval-2016任务5“基于情绪的情感分析”的一部分构建的，其中代表了七种不同的语言，并可公开用于研究目的。
Aspect Based Sentiment Analysis (ABSA) is the task of mining and summarizing opinions from text about specific entities and their aspects. This article describes two datasets for the development and testing of ABSA systems for French which comprise user reviews annotated with relevant entities, aspects and polarity values. The first dataset contains 457 restaurant reviews (2365 sentences) for training and testing ABSA systems, while the second contains 162 museum reviews (655 sentences) dedicated to out-of-domain evaluation. Both datasets were built as part of SemEval-2016 Task 5 “Aspect-Based Sentiment Analysis” where seven different languages were represented, and are publicly available for research purposes.