COVID-19 Public Opinion and Emotion Monitoring System Based on Time Series Thermal New Word Mining

05/23/2020
by   Yixian Zhang, et al.
0

With the spread and development of new epidemics, it is of great reference value to identify the changing trends of epidemics in public emotions. We designed and implemented the COVID-19 public opinion monitoring system based on time series thermal new word mining. A new word structure discovery scheme based on the timing explosion of network topics and a Chinese sentiment analysis method for the COVID-19 public opinion environment is proposed. Establish a "Scrapy-Redis-Bloomfilter" distributed crawler framework to collect data. The system can judge the positive and negative emotions of the reviewer based on the comments, and can also reflect the depth of the seven emotions such as Hopeful, Happy, and Depressed. Finally, we improved the sentiment discriminant model of this system and compared the sentiment discriminant error of COVID-19 related comments with the Jiagu deep learning model. The results show that our model has better generalization ability and smaller discriminant error. We designed a large data visualization screen, which can clearly show the trend of public emotions, the proportion of various emotion categories, keywords, hot topics, etc., and fully and intuitively reflect the development of public opinion.

READ FULL TEXT

page 12

page 13

page 15

page 16

07/29/2021

COVID-19 Vaccine and Social Media: Exploring Emotions and Discussions on Twitter

Public response to COVID-19 vaccines is the key success factor to contro...
07/14/2020

COVID-19 Twitter Dataset with Latent Topics, Sentiments and Emotions Attributes

This paper presents a large annotated dataset on public expressions rela...
05/25/2018

Multimodal Sentiment Analysis To Explore the Structure of Emotions

We propose a novel approach to multimodal sentiment analysis using deep ...
06/03/2021

The Emotion coding and Propagation based on improved Genetic algorithm

Computational communication research on information has been prevalent i...
06/08/2019

Detection and Prediction of Users Attitude Based on Real-Time and Batch Sentiment Analysis of Facebook Comments

The most of the people have their account on social networks (e.g. Faceb...
11/12/2021

Dataset of Philippine Presidents Speeches from 1935 to 2016

The dataset was collected to examine and identify possible key topics wi...