0% Complete
Home
/
11th International Conference on Computer and Knowledge Engineering
Analyzing the Impact of COVID-19 on Economy from the Perspective of User’s Reviews
Authors :
Fatemeh Salmani
1
Hamed Vahdat-Nejad
2
Hamideh Hajiabadi
3
1- Faculty of Electrical and Computer Engineering, University of Birjand, Iran
2- Faculty of Electrical and Computer Engineering, University of Birjand, Iran
3- Department of Computer Engineering, Birjand University of Technology, Iran
Keywords :
Covid-19, Economy, Sentiment analysis, Social network, Natural language processing, Pandemic
Abstract :
One of the most important incidents in the world in the last year is the outbreak of the Coronavirus. Users on social networks publish a large number of comments about this event. These comments contain important hidden information of public’ opinion toward this pandemic. In this study, a large number of coronavirus-related tweets are considered and analyzed using natural language processing and information retrieval science. Initially, the location of the tweets is determined using a dictionary prepared through the Geo Names geographic database, which contains detailed and complete information of places such as city names, streets, and postal codes. Then, using a large dictionary prepared from the terms of economics, related tweets are extracted and sentiments corresponded to tweets are analyzed with the help of the RoBERTa language-based model, which has high accuracy and good performance. Finally, the frequency chart of tweets related to economy and their sentiment scores (positive and negative tweets) is plotted over time for the entire world and the top 10 economies. From the analysis of the charts, we learn that the reason for publishing economic tweets is not only the increase in the number of people infected with the coronavirus but also imposed restrictions and lockdowns in countries. The consequences of these restrictions include the loss of millions of jobs and the economic downturn.
Papers List
List of archived papers
A Comprehensive Approach to SMS Spam Filtering Integrating Embedded and Statistical Features
Shaghayegh Hosseinpour - Mohammad Reza Keyvanpour
An Adaptive Budget and Deadline-aware Algorithm for Scheduling Workflows Ensemble in IaaS Clouds
Negin Shafinezhad - Hamid Abrishami - Saeid Abrishami
Financial Market Prediction Using Deep Neural Networks with Hardware Acceleration
Dara Rahmati - Mohammad Hadi Foroughi - Ali Bagherzadeh - Mehdi Foroughi - Saeid Gorgin
A Framework for Automated Cardiovascular Magnetic Resonance Image Quality Scoring based on EuroCMR Registry Criteria
Shahabedin Nabavi - Mohsen Ebrahimi Moghaddam - Ahmad Ali Abin - Alejandro Frangi
Area-Efficient VLSI Implementation of Bit-Serial Multiplier Using Polynomial Basis over GF(2m)
Saeideh Nabipour - Javad Javidan - Gholamreza Zare Fatin
Joint ADC-less Analog Demodulator and Decoder for Extended Binary (8, 4, 4) Hamming Channel Code
Mir Mahdi Safari - Jafar Pourrostam - Behzad Mozaffari Tazehkand
Deep Inside Tor: Exploring Website Fingerprinting Attacks on Tor Traffic in Realistic Settings
Amirhossein Khajehpour - Farid Zandi - Navid Malekghaini - Mahdi Hemmatyar - Naeimeh Omidvar - Mahdi Jafari Siavoshani
The Internet of Things-Enabled Smart City: An In-Depth Review of Its Domains and Applications
Amir Meydani - Ali Ramezani - Alireza Meidani
Detecting Non-Spherical Clusters Using Modified CURE Algorithm
Arezou Safdari - Pedram Salehpour
New Design of Efficient Reversible Quantum Saturation Adder
Negin Mashayekhi - Mohammad Reza Reshadinezhad - Shekoofeh Moghimi
more
Samin Hamayesh - Version 41.5.3