Study on the Optimization Design of the Subject Indexing Based on the Word-frequency Statistics | Zendy

Huafeng Xie | Zendy; Fang Wu | Zendy; Xuying Lu | Zendy

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Study on the Optimization Design of the Subject Indexing Based on the Word-frequency Statistics

Author(s) -

Huafeng Xie,

Fang Wu,

Xuying Lu

Publication year - 2011

Publication title -

computer and information science

Language(s) - English

Resource type - Journals

eISSN - 1913-8997

pISSN - 1913-8989

DOI - 10.5539/cis.v4n2p125

Subject(s) - computer science , weighting , search engine indexing , cohesion (chemistry) , subject (documents) , word (group theory) , word lists by frequency , function (biology) , value (mathematics) , natural language processing , information retrieval , artificial intelligence , machine learning , world wide web , linguistics , medicine , chemistry , philosophy , organic chemistry , evolutionary biology , biology , sentence , radiology

Based on the traditional word frequency statistical function, the new weighting function is established in this article, comprehensively combining with four important factors such as the weight value of subject words, the classes, the specificity, and the cohesion relation. This new method could standardize the indexing of the subject words of the official document, enhance the work efficiency, realize the automatic indexing, and reduce the mistakes because of personal factors. In addition, the program design and the implementation of the computer language of this method are also introduced in this article.

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