Copyright value evaluation method

Abstract

The invention provides a copyright value evaluation method, and relates to the technical field of copyright evaluation, and the copyright value evaluation method comprises the following steps: S1, constructing a data storage platform for collecting various high-quality copyright information as a data source, integrating comprehensive and accurate copyright information, and integrating the copyright information to obtain a copyright value evaluation result; and finally, storing in a database, thereby facilitating subsequent training of the evaluation model. According to the method, copyright information can be intelligently scored through a deep learning model by carrying out integrated training on the copyright, the probability of manual participation is reduced, the efficiency of copyright value evaluation is effectively improved, and meanwhile, the step of validity judgment is creatively added on the basis of machine scoring, so that the accuracy of copyright value evaluation is improved. According to the technical scheme, the machine score is audited manually, so that the machine score error is prevented from being too large, and meanwhile, the working efficiency is effectively improved because only the score needs to be judged manually and does not need to be evaluated.

Description

technical field [0001] The invention relates to the technical field of copyright assessment, and in particular to a copyright value assessment method. Background technique [0002] Copyright is the legal title to the reproduction rights of computer programs, literary works, musical works, photographs, games, movies, etc. Unless transferred to another party, copyright is generally considered to belong to the author, and most computer programs are not only protected by copyright , is also protected by a software license, and copyright only protects the expression of ideas. [0003] However, the existing copyright value evaluation methods still mainly rely on manual evaluation, which requires a large number of professional technicians and experts, and the cost is high. At the same time, the scores of different professional technicians and experts are easily influenced by subjective factors, which makes the scores have certain errors. [0004] Therefore, it is particularly impo...

AI Technical Summary

Problems solved by technology

[0003] However, the existing methods of copyright value evaluation still mainly rely on manual evaluation, which requires a large number of professional technicians and experts, and the cost is high. At the same time, the scores of different professional technicians and experts are easily affected by subjective factors, which makes the scores have certain errors.

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