Automatic Summarization for Agricultural Product Review
نویسندگان
چکیده
Agricultural product review is playing increasing role in finance websites. Since manual text summarization needs large human efforts and also time consuming, we propose automatic summarization for agricultural product review in this paper. Firstly, we formulate the agricultural product as a quintuple, and present a framework to extract the features from agricultural product. Then we exploit learning to rank method to identify key sentence in product review. Finally, sentence analysis method has been proposed to extract comparative information. Experimental results show that the proposed approaches outperform the existing research.
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