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| 1 | 基于BERT的社交电商文本分类算法显示文摘随着网络购物的高速发展,网络商家和购物者在网络交易活动中产生了大量的交易数据,其中蕴含着巨大的分析价值。针对社交电商商品文本的文本分类问题,为了更加高效准确地判断文本所描述商品的类别,提出了一种基于BERT模型的社交电商文本分类算法。首先,该算法采用BERT(Bidirectional Encoder Representations from Transformers)预训练语言模型来完成社交电商文本的句子层面的特征向量表示,随后有针对性地将获得的特征向量输入分类器进行分类,最后采用社交电商文本的数据集进行算法验证。实验结果表明,经过训练的模型在测试集上的分类结果F1值最高可达94.61%,高出BERT模型针对MRPC的分类任务6%。因此,所提社交电商文本分类算法能够较为高效准确地判断文本所描述商品的类别,有助于进一步分析网络交易数据,从海量数据中提取有价值的信息。 | 李可悦 陈轶 牛少彰 | 2021 | 计算机科学2021，48，2： | 16 |
| 2 | An Intelligent Tumors Coding Method Based on Drools显示文摘In order to solve the problems of low efficiency and heavy workload of tumor coding in hospitals,we proposed a Drools-based intelligent tumors coding method.At present,most tumor hospitals use manual coding,the trained coders follow the main diagnosis selection rules to select the main diagnosis from the discharge diagnosis of the tumor patients,and then code all the discharge diagnoses according to the coding rules.Owing to different coders have different familiarity with the main diagnosis selection rules and ICD-10 disease coding,it will reduce the efficiency of the artificial coding results and affect the quality of the whole medical record.We first analyze the ICD library information,doctor's diagnostic information,radiotherapy information or chemotherapy information,surgery information,hospitalization information and other related information,and then generated Drools rule files based on the main diagnostic selection principles and coding principles,we also combined the text similarity analysis algorithm to construct an intelligent diagnostic information coding method.Practice shows that the coding method can be used to make the work efficiently and at the same time obtain the coding results which meet the standard and have high accuracy,so that the coders can be free from the repeated work and pay more attention to coding quality control and the coding logic adjustment. | Panjie Yang Gang Liu Xiaoyu Li Liyuan Qin Xiaoxia Liu | 2020 | Journal of New Media2020，2，3： | 0 |
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