Emotion trend prediction model of multi-feature fusion product, establishment method and prediction method

Abstract

The invention provides an emotion trend prediction model of a multi-feature fusion product, an establishment method and a prediction method, and aims to solve the problem that the evaluation emotion trend of a market for a new product is difficult to predict and analyze in advance for massive comment data in the prior art. The emotional trend prediction model establishment method comprises the steps of crawling comment data and attribute feature data of a product; performing data cleaning on the crawled data, performing sentiment analysis on the cleaned comment data to obtain a product sentiment value of the product, marking the product sentiment value on the product, forming model original data by product attribute features and the sentiment value, and constructing a model original data set; dividing the original data set into a training data set and a test data set; building an emotion trend prediction model: stacking a depth separable convolution feature extraction layer, a convolution attention layer, a bidirectional long and short term memory network prediction layer and a full connection layer to obtain the emotion trend prediction model; and training the emotion trend prediction model.

Description

technical field [0001] The present disclosure belongs to the technical field of product evaluation and prediction, and in particular relates to an emotion trend prediction model, establishment method and prediction method of a multi-feature fusion product. Background technique [0002] With the development of mobile Internet and e-commerce, after users buy products online and experience them, they will generally write down their experience of the products on the platform, make comments on the products, and share their experience. Online reviews of products can provide opinions and suggestions to other consumers, so as to make reasonable purchasing decisions. From the perspective of an enterprise, in the face of massive review data, it is impossible to well control the market's diverse needs for products, and it is impossible to predict and analyze the market's emotional trend in evaluating new products in advance, so that it can be transformed into design requirements. It w...

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Problems solved by technology

[0003] This disclosure provides an emotional trend prediction model, establishment method, and prediction method for multi-feature fusion products, aiming to solve the problem that it is difficult to predict and analyze the emotional trend of the market's evaluation of new products in the face of massive comment data in the prior art The technical problem of the trend, and the problem of low prediction accuracy of the emotional trend of the evaluation of the new product by the existing technology

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