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LSTM-based cultural added value evaluation method

A value-added and cultural technology, applied in the cultural value-added evaluation based on LSTM neural network, in the field of cultural value-added evaluation based on LSTM, it can solve the problem of lack of cultural value-added quantification methods, and achieve a good systematic and hierarchical effect.

Pending Publication Date: 2021-08-24
BEIJING INFORMATION SCI & TECH UNIV
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Problems solved by technology

To solve these key questions, we must first answer: "What is the composition of cultural added value" and "How to measure this cultural added value". Exploration of Added Value Quantification Method

Method used

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  • LSTM-based cultural added value evaluation method
  • LSTM-based cultural added value evaluation method
  • LSTM-based cultural added value evaluation method

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Embodiment Construction

[0085] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0086] Such as Figure 1-2 As shown, the purpose of the present invention is to: propose a method for evaluating cultural added value based on LSTM neural network, and construct an index system of cultural added value and an LSTM sentiment analysis evaluation model to solve the problems raised in the above-mentioned background technology.

[0087] The present invention is achieved through the following technical solutions:

[0088] A method for assessing cultural added value based on LSTM neural network, the method comprises the following steps:

[0089] Step 1: Construct a three-dimensional index system based on individual-enterprise-society from the perspective of hierarchical function of cultural added value;

[0090] Step 2: Prepare the review corpus of the cultural product to be evaluated, and perform word segmentation processing on it, and then, based...

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Abstract

The invention belongs to the technical field of cultural additional value evaluation, and relates to an LSTM-based cultural additional value evaluation method, which comprises the following steps: 1, constructing a personal-enterprise-society-based three-dimensional index system; 2, establishing a feature word list for representing a comment corpus of a to-be-evaluated cultural product; 3, extracting feature sentences to obtain feature sentence data; 4, training an LSTM network model; 5, performing accuracy test and prediction on the LSTM network model to obtain an emotion value; 6, weighting indexes of the three-dimensional index system in the step 1; and 7, establishing a culture additional value calculation equation model, and obtaining a culture additional evaluation value. According to the method, the defects that evaluation indexes in a traditional evaluation model are too subjective and not easy to quantify are overcome, and the method is suitable for researching the problem that comment data in a network platform environment are large in scale.

Description

technical field [0001] The invention belongs to the technical field of cultural added value evaluation, and relates to an LSTM-based cultural added value evaluation method, in particular to a cultural added value evaluation method based on an LSTM (long short-term memory artificial neural network) neural network. Background technique [0002] The rapid development of Internet technology has led a trend of digital economy. In the context of the new era, the cultural and creative industry is gradually moving towards digitization and intelligence, bringing people a different cultural experience. The organic integration of "digital", "culture" and "platform" has derived a series of cultural innovation forms and new formats, making cultural and creative products no longer simply reproduce traditional culture, but to realize products and different cultures through digital technology. The integration and symbiosis of the product makes the empty and rigid cultural symbols "live" an...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06F40/211G06F40/216G06F40/289G06N3/04G06N3/08
CPCG06Q10/06393G06F40/289G06F40/216G06F40/211G06N3/08G06N3/044Y02P90/30
Inventor 倪渊张腾韩鹏飞徐磊齐林王佳
Owner BEIJING INFORMATION SCI & TECH UNIV
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