EliXa：模块化、灵活的ABSA平台
EliXa: A Modular and Flexible ABSA Platform
摘要：
本文提出了一个有监督的基于方面的情感分析（Aspect Based Sentiment Analysis，ABSA）系统。我们的目标是开发一个模块化平台，通过更换模块或添加新功能，可以轻松地进行实验。我们在意见目标提取（OTE）任务（插槽2）中使用现成的序列标签获得最佳结果。目标极性分类（槽3）通过多类SVM算法来解决，该算法包括基于词汇的特征，诸如从域和开放极性词汇获得的极性值。该系统获得的餐厅和笔记本电脑域分别为0.70和0.73的准确度，并执行第二个最好的域外酒店，达到0.80的准确度。
英文摘要：
This paper presents a supervised Aspect Based Sentiment Analysis (ABSA) system. Our aim is to develop a modular platform which allows to easily conduct experiments by replacing the modules or adding new features. We obtain the best result in the Opinion Target Extraction (OTE) task (slot 2) using an off-the-shelf sequence labeler. The target polarity classification (slot 3) is addressed by means of a multiclass SVM algorithm which includes lexical based features such as the polarity values obtained from domain and open polarity lexicons. The system obtains accuracies of 0.70 and 0.73 for the restaurant and laptop domain respectively, and performs second best in the out-of-domain hotel, achieving an accuracy of 0.80.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
