基于Word2Vec的高效词汇语义相似度计算系统的设计实现  

Design and Implementation of an Efficient Vocabulary Semantic Similarity Calculation System Based on Word2Vec

作　　者：孙洪迪[1] SUN Hongdi(School of Electrical and Information Engineering,Beijing Polytechnic College,Beijing 100042,China)

机构地区：[1]北京工业职业技术学院电气与信息工程学院

出　　处：《北京工业职业技术学院学报》2019年第4期26-31,共6页Journal of Beijing Polytechnic College

摘　　要：随着计算机软硬件技术和人工智能技术的飞速发展,计算机人工智能技术在我国各领域的应用也越来越广泛,自然语言处理领域的人工智能技术也得到了前所未有的发展。在对Word2Vec开源库进行深入研究后,就其词汇语义相似度算法提出优化解决方案,提高了词汇语义相似度计算效率及准确率,并给出了优化后的实际测试结果。With the rapid development of computer technology and artificial intelligence technology,the application of computer artificial intelligence technology in various fields of our country is growing more and more extensive and the artificial intelligence technology in the field of natural language processing has also obtained unprecedented development.After an in-depth study of Word2Vec open source library,this paper puts forward an optimized solution to its semantic similar word algorithm,improves the computational efficiency and accuracy of semantic similar words and provides the actual test results after optimization.

关 键 词：Word2Vec 词向量 词汇语义相似度 多线程 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]