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Method and device for training a review evaluation model

A technology for evaluating models and models, applied in the field of text processing, can solve the problems of small number of samples, training models, etc., and achieve the effect of saving labeling costs

Active Publication Date: 2019-01-11
ADVANCED NEW TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, when training a model for product reviews in a certain field, the number of samples in this field may be small, making it difficult to train a more accurate model

Method used

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  • Method and device for training a review evaluation model
  • Method and device for training a review evaluation model
  • Method and device for training a review evaluation model

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Embodiment Construction

[0048] Embodiments of this specification will be described below with reference to the accompanying drawings.

[0049] figure 1 A schematic diagram of a review evaluation system 100 according to an embodiment of the present specification is shown. Such as figure 1 As shown, the system 100 includes three neural network structures: a source domain neural network 11 , a shared neural network 12 and a target domain neural network 13 . As shown in the figure, X s represents the source domain input, X t Represents the target domain input. Among them, the shared neural network 12 is used to learn the common representations of the source domain and the target domain, and the source domain neural network 11 and the target domain neural network 13 are used to learn the unique representations of the source domain and the target domain respectively, so that through the source domain More data helps to train the shared neural network 12 for more accurately predicting the input of the ...

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Abstract

The embodiment of that present specification provides a method and a device for training a review evaluation model and a method and a device for ranking reviews. The review evaluation model comprisesa neural network comprising a source domain neural network, a target domain neural network and a shared neural network. The training method comprises: obtaining at least one sample, the at least one sample comprising at least one source domain sample and / or at least one target domain sample; inputting a comment text and a field label value each included in the at least one sample into the currentmodel to predict at least one usefulness evaluation value corresponding to the at least one sample, respectively; and training the model using the at least one sample and the at least one usefulness evaluation value corresponding to the at least one sample, respectively, such that a loss function of the model after training is reduced as compared to before training.

Description

technical field [0001] The embodiments of this specification relate to the technical field of text processing, and more specifically, to a method and device for training a review evaluation model, and a method and device for sorting review texts. Background technique [0002] With the rapid development of online e-commerce, existing online consumers have formed the habit of judging the quality of products and services based on product reviews. Online e-commerce is not like traditional shopping, users can see and touch the real thing. Online shopping is nihility, and what users can see are the modified text and pictures of the merchants. Therefore, the user basically decides whether to select a product or a business based on the reviews. As more and more users share product reviews and a large number of merchant trolls get involved, it becomes increasingly difficult to judge the quality of these reviews. Many reviews that are useful (ie, informative) to consumers are burie...

Claims

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Application Information

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IPC IPC(8): G06F16/35G06N3/04G06N3/08G06F17/27
CPCG06N3/08G06F40/289G06N3/045
Inventor 陈岑周俊李小龙
Owner ADVANCED NEW TECH CO LTD