Audio Public opinion Analysis Model based on heterogeneous Neural Network

2021 ◽  
Author(s):  
Haikun Jiang ◽  
Xu Wu ◽  
Xiaqing Xie ◽  
Jingchen Wu
Keyword(s):  
Neural Network ◽  
Public Opinion ◽  
Analysis Model ◽  
Opinion Analysis ◽  
Model Based

Event Graph Neural Network for Opinion Target Classification of Microblog Comments

2022 ◽  
Vol 21 (1) ◽  
pp. 1-13
Author(s):  
Yan Xiang ◽  
Zhengtao Yu ◽  
Junjun Guo ◽  
Yuxin Huang ◽  
Yantuan Xian
Keyword(s):  
Neural Network ◽  
Public Opinion ◽  
Classification Performance ◽  
Experimental Results ◽  
Target Classification ◽  
Document Similarity ◽  
Opinion Analysis ◽  
Relationship Of

Opinion target classification of microblog comments is one of the most important tasks for public opinion analysis about an event. Due to the high cost of manual labeling, opinion target classification is generally considered as a weak-supervised task. This article attempts to address the opinion target classification of microblog comments through an event graph convolution network (EventGCN) in a weak-supervised manner. Specifically, we take microblog contents and comments as document nodes, and construct an event graph with three typical relationships of event microblogs, including the co-occurrence relationship of event keywords extracted from microblogs, the reply relationship of comments, and the document similarity. Finally, under the supervision of a small number of labels, both word features and comment features can be represented well to complete the classification. The experimental results on two event microblog datasets show that EventGCN can significantly improve the classification performance compared with other baseline models.

scholarly journals New Media Advertising Communication Analysis Model Based on Extension Neural Network

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Zhe Zhang
Keyword(s):  
Neural Network ◽  
New Media ◽  
Fuzzy Neural Network ◽  
Intelligent System ◽  
Structure Design ◽  
Analysis Model ◽  
Communication Analysis ◽  
Model Based ◽  
Fuzzy Neural ◽  
Advertising Communication

In order to improve the effect of new media advertising communication analysis, this paper combines the scalable neural network to construct the new media advertising communication analysis model. Moreover, this paper analyzes in detail the basic theories of fuzzy neural network and extension evaluation, the structure design and learning algorithm, and classification of fuzzy neural network. In particular, this paper summarizes the optimization algorithms and methods of neural network structure. In addition, this paper improves the algorithm to meet the needs of new media advertising data analysis and builds an intelligent system framework. The experimental verification shows that the new media advertising communication analysis model based on the extension neural network proposed in this paper meets the new media advertising communication analysis effect.

An implicit opinion analysis model based on feature-based implicit opinion patterns

2020 ◽  
Vol 53 (6) ◽  
pp. 4547-4574
Author(s):  
Zhao Fang ◽  
Qiang Zhang ◽  
Xiaoan Tang ◽  
Anning Wang ◽  
Claude Baron
Keyword(s):  
Analysis Model ◽  
Opinion Analysis ◽  
Model Based ◽  
Feature Based

scholarly journals Analysis of Industry Convergence Based on Improved Neural Network

2021 ◽  
Author(s):  
Nan Ma
Keyword(s):  
Neural Network ◽  
Convergence Analysis ◽  
Information Age ◽  
Analysis Model ◽  
Model Based ◽  
Industry Convergence ◽  
Network Algorithm ◽  
The Neural Network ◽  
Group Competition ◽  
Neural Network Algorithm

Abstract Economic growth in the information age is no longer a stage driven by unipolarity. It has entered a multi-polar driving stage characterized by integration, fusion, and integrated development on a larger scale between regions, and the trend of group competition with urban agglomerations as carriers has become increasingly obvious. This paper improves the neural network algorithm based on the needs of industrial economic integration in the digital age, and proposes an industry convergence analysis model based on the improved neural network algorithm. Moreover, this article combines industry models to analyze actual needs and constructs an industry convergence analysis model based on improved neural networks, and analyzes the integration of different industries. In addition, this article conducts experiments through multiple sets of data, and combines the neural network model of this article to conduct research. Through experimental research, we know that the model constructed in this paper can play an important role in the analysis of industry convergence.

Sign in / Sign up

Export Citation Format

Share Document