Method for evaluating value of film/television content

Abstract

The invention discloses a method for evaluating the value of film and television content, which includes obtaining the index results of the all-media viewing module, the index result of the all-media social public opinion module, and the index result of the all-media communication power module of the film and television content to be evaluated; assigning weights to each module; and calculating The comprehensive index of the heat of the film and television content is calculated as follows: ScoreCB is the comprehensive index of the heat of the film and television content, Kj refers to the weight assignment, and Scorej is the respective index score of the above-mentioned modules. The present invention designs a formula to carry out various data according to the weight. Comprehensive, taking into account live broadcast, on-demand, etc., including word-of-mouth and media reports on social platforms, opening up multi-screen data, and using different weights to comprehensively measure ratings performance. It is comprehensive and can be predicted before broadcasting, thereby reducing Risks of participants in the industry, better resource scheduling.

Description

technical field [0001] The present invention relates to a film and television content evaluation technology, in particular to a method for evaluating the value of a film and television content. Background technique [0002] Currently, there are many evaluation methods for ratings behavior, such as Suo Furui: ratings data, based on national sample cities and sample users, to conduct ratings surveys; Nielsen Internet Union: measure the ratings of digital TV users through a built-in digital TV set-top box measuring instrument Behavior and evaluation; Youku index, Sohu index and other video website indexes: record user click behavior of video websites, and launch video index to evaluate content value. [0003] However, at present, viewers’ viewing behavior is multi-screen, and TV, PC and mobile phones are all used. However, the above-mentioned evaluation methods only evaluate the ratings of live broadcasts or the click behavior of video websites, which cannot fully reflect the r...

AI Technical Summary

Problems solved by technology

[0003] However, at present, viewers’ viewing behavior is multi-screen, and TV, PC and mobile phones are all used. However, the above-mentioned evaluation methods only evaluate the ratings of live broadcasts or the click behavior of video websites, which cannot fully reflect the real situation of viewing. , can not cover multi-screen data, there is no comprehensive measurement of ratings, and it needs to be integrated and connected; at the same time, as a cultural product, it is necessary to consider not only ratings performance, but also social effects, and the above evaluation products do not comprehensively consider the social influence of the content. Including influence on the media side and word-of-mouth on social platforms, and the evaluation of film and television content focuses on post-broadcast evaluation, and no good solution is proposed for pre-broadcast predictive evaluation

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