Word cloud topic selecting method and system for publishing industry

Abstract

The invention discloses a word cloud topic selecting method and system for the publishing industry. The system comprises a word bank establishing module, a word cloud word selecting module, a selected topic determining module and a selected topic optimizing module. A selected topic word bank is established through a work bank establishing module, a keyword incidence relation atlas network is generated, and a first target keyword is screened according to the user concern point and pushed to a display terminal in the form of a mind map; a second target keyword is screened according to the user settings, an associated word of the second target keyword is analyzed and generated, the second target keyword and the associated word thereof are together pushed to the display terminal in the form of a mind map, and original data of a target selected topic is obtained; finally, intelligent statistics and analysis are conducted on the target selected topic, and the statistics and analysis result is pushed to the display terminal. A traditional manually-selected topic is broken through; by means of the intelligent and systematic topic selecting method, lots of labor and time cost is saved, and the high-speed stable development of the publishing industry is easy.

Description

technical field [0001] The invention relates to the technical field of publishing, in particular to a word cloud topic selection method and system for the publishing industry. Background technique [0002] One of the decisive factors for the survival and development of the publishing industry is the published content, and the first condition for high-quality content is high-quality topic selection; without first-class topic selection, it is difficult to produce first-class published content. Therefore, increasing the development and optimization of topic selection plays a vital role in the quality and efficiency of publications. The traditional way of topic selection is often lack of creativity, the user's inspiration cannot be fully stimulated, and the optimization of topic selection needs to be done manually by editors. In the face of massive information, it is a huge workload to screen and optimize specific topics. In addition, manual judgment of topic selection relies t...

AI Technical Summary

Problems solved by technology

The traditional way of topic selection is often lack of creativity, the user's inspiration cannot be fully stimulated, and the optimization of topic selection needs to be done manually by editors. In the face of massive information, it is a huge workload to screen and optimize specific topics. In addition, manual judgment of topic selection is too dependent on human subjectivity, and lacks sufficient data support. It is inevitable that there will be deviations in guiding the direction of publishing, which is not conducive to the rapid development of the publishing industry.

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