Abstract
To help sellers timely and effectively get the commodity reviews,the author proposed a commodity review detection method based on the key word extraction.Based on the Chinese word segmentation,this method firstly extracted the candidate Key words based on part of speech tagging,and then filtered out noises based on the rules.The paper extracted the dynamic co-occurrence of the commodity reviews,and extended the Key words based on these dynamic co-occurrences.Finally the commodity review detection method based on the keyword was realized.The experimental results show that,compared to the basic model,the proposed method can increase the F-Measure by 34.8%,which proves that efficient key word extraction is very useful to the commodity review detection.
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