Television program satisfaction subjective evaluation method and construction system

Abstract

Television program satisfaction subjective evaluation method and construction system are disclosed. The method comprises: constructing a service object, an evaluation platform, databases, an evaluation method and an evaluation dimension. The construction of the databases comprises: constructing a basic database, a subjective database, a structured database and an emotional tendency database. The method and the system provided by the present invention have the beneficial effects that: subjective evaluation on a television program is performed by the television program satisfaction subjective evaluation method and construction system based on an internet platform, so that three bottlenecks of conventional television program satisfaction measurement are overcome, "instantaneity'', ''quantification'' and ''homology'' are achieved, and subjective evaluations and satisfactory degrees of audiences to the television program can be effectively understood.

Description

technical field [0001] The invention relates to a subjective evaluation method and a construction system of television program satisfaction, which belong to the intersection product of the field of radio and television and the field of artificial intelligence. Its theoretical basis is text sentiment analysis technology in natural language processing, which is to effectively analyze and mine emotionally subjective text information and identify the emotional tendency of its expressed content. Background technique [0002] The existing subjective evaluation of TV programs is mainly measured by user satisfaction. Satisfaction is an important "quality" indicator other than the ratings quantitative indicator, which is used to measure the user's satisfaction with the channel or program he has watched. Whether users are satisfied is the fundamental criterion for evaluating the quality of a program. [0003] Satisfaction is also called "appreciation index", and the TV "appreciation...

AI Technical Summary

Problems solved by technology

However, traditional TV satisfaction has three insurmountable measurement bottlenecks:

[0005] 1) Satisfaction measurement cannot be "instant", and the evaluation time period is long

Since traditional audience satisfaction measurement can only be carried out by filling in diary cards, questionnaires, symposiums, and in-depth interviews, the survey can only select certain channels, certain time periods, and certain programs within a certain period of time, and the obtained data is single, Not comprehensive, not the audience's daily real viewing environment

Therefore, compared with the acquisition of ratings data, satisfaction surveys need to consume a lot of manpower and a long cycle (such as CCTV satisfaction surveys are conducted once a quarter), and timely feedback cannot be made when evaluating programs, resulting in delays. timing of program adjustment

[0006] 2) Satisfaction measurement cannot be "quantified", and is greatly affected by subjective and human factors

In traditional satisfaction surveys, audiences need to rely on subsequent memories to make judgments, which greatly affects the accuracy and authenticity of the results

At the same time, due to the inevitable omissions and frictions in the communication between the investigators and the respondents, the reliability of the data is also reduced.

[0007] 3) Satisfaction measurement and ratings measurement cannot be "same source"

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