Publication topic selecting and issuing analysis system

Abstract

The invention provides a publication topic selecting and issuing analysis system. The system comprises a publication market monitoring subsystem used for obtaining and analyzing publication market dynamic information, pushing directional concerned contents and early warning contents according to an analysis result and performing storage, a topic selecting support subsystem used for performing topic pushing according to historical topic information and the stored result information obtained and analyzed by the publication market monitoring subsystem to enable a user to determine a current topicaccording to a pushed topic, a marketing decision support subsystem used for analyzing the type of a publication finished by the user according to the determined current topic and determining a marketing model matched with the type based on a marketing feature library to perform decision making on a marketing policy of the publication finished by the current topic, and a feedback analysis subsystem used for obtaining and analyzing feedback information of different types of readers to the publication finished by the current topic and performing storage. The system is in favor of efficiently and accurately perform publication topic selecting and issuing.

Description

technical field [0001] The invention relates to the technical field of publishing, in particular to an analysis system for selecting and issuing publication topics. Background technique [0002] The topic selection planning and marketing of publications require publishers to keep abreast of industry trends and take timely countermeasures. At present, the topic selection and marketing optimization of publications require manual analysis. In the face of massive information to determine the specific topic selection content and marketing strategy, the workload is huge, and the manual judgment of topic selection content and marketing strategy is overly dependent. Due to human subjectivity, there is a lack of sufficient data support, and there is no comprehensive analysis system from publication topic selection to publication marketing and further supporting topic selection through feedback information on book reviews. Contents of the invention [0003] In view of this, the mai...

AI Technical Summary

Problems solved by technology

At present, the topic selection and marketing optimization of publications require manual analysis. In the face of massive information to determine the specific topic selection content and marketing strategy, the workload is huge, and the manual judgment of topic selection content and marketing strategy is overly dependent. Due to human subjectivity and lack of sufficient data support, there is no comprehensive analysis system from publication topic selection to publication marketing and further supporting topic selection through feedback information on book reviews

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