基于Hadoop的电商评价分类检索

Classification and retrieving of electronic commerce evaluation based on hadoop

针对电商评价中分类检索的需求,在Hadoop平台下,基于MapReduce并行编程模型,实现查看大数据高效的评价信息。特别是针对不同情感的评价,通过使用mmseg4j分词器进行分类,再利用Solr索引来实现检索。实验结果表明,提出的电商评价分类检索系统可以显著区分出不同商品评价中的好、中、差评。

To meet the need of classification and retrieving of electronic commerce evaluation,with the frame of MapReduce,highly efficient evaluation information for big data viewing is implemented on the Hadoop platform. In particular,the evaluation of different emotions is classified by using the word breaker mmseg4 j and the retrieval is implemented by applying Solr index. The results show that The proposed classification and retrieving of electronic commerce evaluation system can significantly distinguish good evaluation of different commodities.