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Web Services for Analysing and Summarising Online Opinions and Reviews

机译:Web服务,用于分析和总结在线意见和评论

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Review mining is a part of web mining which focuses on getting main information from user review. State of the art review mining systems focus on identifying semantic orientation of reviews and providing sentences or feature scores. There has been little focus on understanding the rationale for the ratings that are provided. This paper presents our proposed RnR system for extracting rationale from online reviews and ratings. We have implemented the system for evaluation on online reviews for hotels from TripAdvisor.com and present extensive experimental evaluation that demonstrates the improved computational performance of our approach and the accuracy in terms of identifying the rationale. We have developed a web based system as well as web service based application to provide flexibility of accessing the rationale. Web based version of RnR system is available for testing from http://rnrsystem.com/RnRSystem. RnR system web service is available from http://rnrsystem.com/axis2/services/RnRData7wsdl.
机译:评论挖掘是Web挖掘的一部分,其重点是从用户评论中获取主要信息。最新的评论挖掘系统专注于识别评论的语义方向并提供句子或特征分数。很少有人关注理解所提供评级的基本原理。本文介绍了我们提出的RnR系统,用于从在线评论和评分中提取基本原理。我们已经实现了TripAdvisor.com上酒店在线评论的评估系统,并提供了广泛的实验评估,这证明了我们方法的计算性能得到了提高,并且在确定基本原理方面具有准确性。我们已经开发了基于Web的系统以及基于Web服务的应用程序,以提供访问基本原理的灵活性。可从http://rnrsystem.com/RnRSystem进行基于Web的RnR系统版本的测试。可从http://rnrsystem.com/axis2/services/RnRData7wsdl获得RnR系统Web服务。

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