| 基于手机客户端与微信小程序的智能问答系统 |
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| 引用本文： | 李冬芬,陈天裕,李峥,刘剑龙,林新城,梁家禧,蔡丽紫.基于手机客户端与微信小程序的智能问答系统[J].软件,2019(7):47-51. |
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| 作者姓名： | 李冬芬 陈天裕 李峥 刘剑龙 林新城 梁家禧 蔡丽紫 |
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| 作者单位： | 1.广东海洋大学数学与计算机学院 |
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| 基金项目： | 广东海洋大学大学生创新创业训练计划项目资助(CXXL2018031) |
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| 摘 要： | 如何更方便快速地获取到准确的信息是众多专家学者研究的课题。立足于微信小程序与手机客户端平台,智能问答系统从总体的设计出发,到知识库的构建,通过对自然语言处理,借用改进的TF-IDF算法提取关键字特征,BM25算法计算语素权值,以达到精确快速匹配到最佳答案的目的,从而解决问题。初步测试证明,该系统具有良好的实用性,稳定性和可拓展性。
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| 关 键 词： | 智能问答系统 自然语言处理 TF-IDF BM25 |
Intelligent Question Answering System Based on Mobile Client and WeChat |
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| LI Dong-fen,CHEN Tian-yu,LI Zheng,LIU Jian-long,LIN Xin-cheng,LIANG Jia-xi,CAI Li-zi.Intelligent Question Answering System Based on Mobile Client and WeChat[J].Software,2019(7):47-51. |
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| Authors: | LI Dong-fen CHEN Tian-yu LI Zheng LIU Jian-long LIN Xin-cheng LIANG Jia-xi CAI Li-zi |
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| Affiliation: | (School of Mathematics and Computer Science,Guangdong Ocean University,Zhanjiang 524088,Guangdong,China) |
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| Abstract: | How to obtain accurate information more conveniently and quickly is a topic studied by many experts and scholars. Based on WeChat Mini Program and mobile client platform, the intelligent question answering system starts from the overall design to the construction of the knowledge base. Through the natural language processing,the improved TF-IDF algorithm is used to extract the keyword features, and the BM25 algorithm calculates the morpheme weight to achieve an accurate and fast match to the best answer for the purpose of solving the problem.Preliminary tests have proved that the system has good practicability, stability and scalability. |
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| Keywords: | Question answering system Natural language processing TF-IDF BM25 |
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