Suggestion Mining Datasets

Suggestion Mining Datasets是由Insight Centre for Data Analytics创建的多领域建议挖掘数据集。该数据集包括酒店评论、电子产品评论、旅行论坛和软件建议论坛等多个领域的数据，旨在通过人工标注的方式提供用于建议挖掘研究的基准数据。数据集的创建过程涉及两阶段标注方法，首先通过众包平台收集初步标注，然后由专家进行二次确认，确保数据质量。该数据集主要应用于开放领域建议挖掘任务，旨在解决从非结构化文本中提取建议句的问题，支持决策过程中的信息收集和分析。

The Suggestion Mining Datasets is a multi-domain suggestion mining dataset developed by the Insight Centre for Data Analytics. Comprising data from multiple domains including hotel reviews, electronic product reviews, travel forums, and software suggestion forums, this dataset functions as a manually annotated benchmark resource for suggestion mining research. The dataset construction adopts a two-stage annotation workflow: preliminary annotations are first collected through crowdsourcing platforms, followed by secondary validation conducted by domain experts to guarantee data quality. Primarily utilized for open-domain suggestion mining tasks, it aims to tackle the problem of extracting suggestion sentences from unstructured text, and supports information collection and analysis in decision-making processes.