面向农业图书资源语义挖掘的主题模型应用设计研究

Research on Application Design of Theme Model for Semantic Mining of Agricultural Book Resources

文章分析了目前图书资源语义挖掘的自然语言处理现状,比较其中较为主流的主题模型和自然语言处理技术,如LSI、pLSI、LDA及NLTK等的衍进状况,尝试应用模块设计选择。初步阐释和设计了小型的面向某科研机构农业图书资源分类挖掘的主题模型,并给出了相应的评价指标。

This article analyzes the current status of natural language processing in the semantic mining of book resources, compares the mainstream topic models and natural language processing technologies such as LSI, pLSI, LDA and NLTK, and tries to apply module design selection. A small topic model for the classification and mining of agricultural book resources in a certain scientific research institution is explained and designed, and the corresponding evaluation indexes are given.