A method and apparatus for classifying spatial query subjects based on natural language processing

The invention provides a method and device for classifying spatial query subjects based on natural language processing, wherein the method comprises the following steps: dividing the natural languageinput by a user into a set of partition words, and then performing feature matching and semantic sequ...

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Bibliographic Details
Main Authors ZHAO YUHUI, LI MING, GUO WEI, ZHU XINYAN
Format Patent
LanguageChinese
English
Published 25.01.2019
Subjects
CALCULATING
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
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Summary:The invention provides a method and device for classifying spatial query subjects based on natural language processing, wherein the method comprises the following steps: dividing the natural languageinput by a user into a set of partition words, and then performing feature matching and semantic sequence rearrangement on words in the set; then, according to the result of subject training, searching the samples which are nearest to the input natural language, and returning to the subject, so as to achieve the spatial query subject classification of natural language. The technical effect of improving the accuracy of subject extraction is achieved. 本发明提供了种基于自然语言处理的空间查询主题的归类方法及装置，其中的方法包括：通过将用户输入的自然语言分割为隔断词的集合，然后对集合内的词依次进行特征匹配与语义序列重新排列。再根据主题训练的结果查找与输入的自然语言最相邻的样本，并返回主题，以此达到对自然语言的空间查询主题归类。实现提高主题提取准确性的技术效果。
Bibliography:Application Number: CN201811116358