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Online news multimodal emotion analysis method

A sentiment analysis and multi-modal technology, applied in character and pattern recognition, instruments, computer components, etc., can solve problems such as not considering image information, and achieve the effect of improving the effect

Active Publication Date: 2019-02-22
NANKAI UNIV
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AI Technical Summary

Problems solved by technology

[0008] The purpose of the present invention is to solve the problem that the existing online news sentiment analysis method does not consider image information, and propose a multi-modal sentiment analysis method for online news, which takes multi-modal sentiment analysis as a framework and considers online news images and Text information, analyzing and predicting the emotional tendency of readers after reading the news

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  • Online news multimodal emotion analysis method
  • Online news multimodal emotion analysis method

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Embodiment Construction

[0036] The present invention proposes a method for online news multimodal sentiment analysis, the main process of the method is as follows figure 1 shown.

[0037] The specific implementation process of the present invention is divided into three stages, as figure 2 As shown, the following is a detailed description of the three-stage implementation process.

[0038] Step 1, data preprocessing

[0039] Prepare an online news dataset with images, such as the 4485 online news of the Daily Mail News, each news contains at least one image, the data set sentiment labels and news image statistics see image 3 and Figure 4 , label news as positive, negative, or neutral sentiment categories.

[0040] In the data preprocessing stage, the original online news with images needs to be processed into a unified format of text and several images. The specific preprocessing steps are: for a given online news, store the text and image data separately, and generate Each news image is assi...

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Abstract

The invention provides an online news multimodal emotion analysis method. The method disclosed by the invention comprehensively utilizes the text and image contents in the online news, constructs a multimodal depth learning model, realizes the full fusion of various modal data features, and analyzes and predicts the emotion of the reader after reading the news according to the multimodal depth learning model. For real news data with images, the method effect of the invention is significantly better than other emotion analysis models without considering image information, which proves that images in news are helpful to the elaboration of the whole news event and affect the reading emotion of readers.

Description

technical field [0001] The invention belongs to the field of artificial intelligence, and in particular relates to a method for analyzing and predicting readers' emotions after reading the news with multiple modal data such as online news text content and news image content. Background technique [0002] As a mainstream social media, online news service has gradually become a new form of information transmission, attracting hundreds of millions of readers every day. Readers often have positive, negative or neutral emotional tendencies after reading news. Effective analysis of users' emotions will help online news providers provide better services to users, and it will also help the government to keep abreast of public opinion and effectively supervise Internet content. This kind of sentiment analysis is an important aspect in the field of natural language processing. The research field has attracted more and more scholars' attention. [0003] With the development of Interne...

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Application Information

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IPC IPC(8): G06K9/62
CPCG06F18/2155G06F18/24G06F18/253
Inventor 张莹郭文雅蔡祥睿赵雪袁晓洁
Owner NANKAI UNIV
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