Topic content aggregation analysis method based on tf-idf and domain dictionary

Abstract

The invention discloses a topic content aggregation analysis method based on a TF-IDF and domain dictionary, and belongs to the field of information processing. An extended word set of the theme demand words is obtained based on the TF-IDF; retrieval of various types of resources in a resource pool is completed by taking the extended word set as a retrieval text and following a retrieval strategybased on a domain dictionary, resource deletion and supplementation are performed through auditing, and ordered arrangement and release are performed on each target resource type according to the timeliness, authority and relevancy of the resources. Compared with a traditional method, the method has the advantages that the check-in rate of resources in the theme is ensured by expanding the word set, and the check-in rate of the resources in the theme is ensured by a domain dictionary-based retrieval strategy and a targeted resource sorting model of each type; and the quality of resources in the theme is ensured through an auditing principle. The method is easy to expand and maintain, and meanwhile the theme resource content aggregation time and labor cost are greatly reduced.

Description

technical field [0001] The invention proposes a subject content aggregation analysis method based on TF-IDF and a domain dictionary, which belongs to the field of intelligence information processing. Background technique [0002] In the Internet age, the publication and distribution of academic resources has gradually turned to digitization and virtualization, the speed of knowledge circulation has been continuously improved, and the production cycle of knowledge achievements has been shortened. The number of papers published after 1950 has reached 400 times the total number of papers published before. In the era of knowledge explosion, the overload of resources has led to the submersion of scientific research knowledge discovery needs, and the problem of accurate discovery of academic resources for specific professional fields has become increasingly prominent. [0003] In order to help the scientific research team keep abreast of the development trend and the latest resear...

AI Technical Summary

Problems solved by technology

[0004] In view of the shortcomings of existing algorithms and the uncertainty and complexity of aggregated information, the purpose of this invention is to solve the problem of automatically and efficiently aggregate information resources of a specific topic, and propose a topic content aggregation analysis based on TF-IDF and domain dictionaries method

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