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Source: Kavita Ganesan
Data Set Information: This dataset contains sentences extracted from user reviews on a given topic. Example topics are “performance of Toyota Camry†and “sound quality of ipod nanoâ€, etc. In total there are 51 such topics with each topic having approximately 100 sentences (on the average). The reviews were obtained from various sources - Tripadvisor (hotels), Edmunds.com (cars) and Amazon.com (various electronics). The dataset file also comes with gold standard summaries used for the Opinosis summarization paper (see relevant papers). Attribute Information: N/A Relevant Papers: Kavita Ganesan, ChengXiang Zhai, Jiawei Han. Opinosis: A Graph Based Approach to Abstractive Summarization of Highly Redundant Opinions. In Proceedings of the 23rd International Conference on Computational Linguistics (COLING 2010). Beijing, China. Citation Request: Kavita Ganesan, ChengXiang Zhai, Jiawei Han. Opinosis: A Graph Based Approach to Abstractive Summarization of Highly Redundant Opinions. In Proceedings of the 23rd International Conference on Computational Linguistics (COLING 2010). Beijing, China. |
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