A Wide & Deep Learning Approach for Covid-19 Tweet Classification

被引：0

作者：

Valdes-Chavez, Alberto ^{[1
]}

Roberto Lopez-Santillan, J. ^{[1
]}

Carlos Gonzalez-Gurrola, L. ^{[1
]}

Ramirez-Alonso, Graciela ^{[1
]}

Montes-y-Gomez, Manuel ^{[2
]}

机构：

[1] Univ Autonoma Chihuahua, Fac Ingn, Circuito Univ Campus 2, Chihuahua 31125, Chihuahua, Mexico

[2] Inst Nacl Astrofis Opt & Elect INAOE, Coordinac Ciencias Computac, Luis Enrique Erro 1, Puebla 72840, Mexico

来源：

PATTERN RECOGNITION, MCPR 2022 | 2022年 / 13264卷

关键词：

Social media; Data mining; Natural language processing; Text classification; Wide & Deep; Covid-19;

D O I：

10.1007/978-3-031-07750-0_21

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Public health surveillance via social media can be a useful tool to identify and track potential cases of a disease. The aim of this research was to design a method for identifying tweets describing potential Covid-19 cases. The proposed method uses a Wide & Deep (W&D) architecture, which combines two learning branches fed from different features to improve classification effectiveness. The deep branch uses a BERT-type model, while the wide branch considers two different lexical-based features. It was evaluated on the data from Task 5 of the Social Media Mining For Health (#SMM4H) 2021 competition. Results show that the proposed W&D method performed better than the wide-only and deep-only models, achieving an F1-score of 0.79 which matches the results of the 1st place ensemble-model.

引用

页码：225 / 234

页数：10

共 50 条

[21] CovC-ReDRNet: A Deep Learning Model for COVID-19 Classification
Zhu, Hanruo
Zhu, Ziquan
Wang, Shuihua
Zhang, Yudong
MACHINE LEARNING AND KNOWLEDGE EXTRACTION, 2023, 5 (03): : 684 - 712
[22] Tweet Topics and Sentiments Relating to COVID-19 Vaccination Among Australian Twitter Users: Machine Learning Analysis
Kwok, Stephen Wai Hang
Vadde, Sai Kumar
Wang, Guanjin
JOURNAL OF MEDICAL INTERNET RESEARCH, 2021, 23 (05)
[23] COVID-19 CXR Classification: Applying Domain Extension Transfer Learning and Deep Learning
Park, KwangJin
Choi, YoungJin
Lee, HongChul
APPLIED SCIENCES-BASEL, 2022, 12 (21):
[24] A Deep Learning Approach for Tweet Classification and Rescue Scheduling for Effective Disaster Management
Kabir, Md Yasin
Madria, Sanjay
27TH ACM SIGSPATIAL INTERNATIONAL CONFERENCE ON ADVANCES IN GEOGRAPHIC INFORMATION SYSTEMS (ACM SIGSPATIAL GIS 2019), 2019, : 269 - 278
[25] A Deep Learning Approach for Ideology Detection and Polarization Analysis Using COVID-19 Tweets
Kabir, Md Yasin
Madria, Sanjay
CONCEPTUAL MODELING (ER 2022), 2022, 13607 : 209 - 223
[26] COVID-19 Diagnosis with Deep Learning
Reis, Hatice Catal
INGENIERIA E INVESTIGACION, 2022, 42 (01):
[27] An efficient transfer learning approach for prediction and classification of SARS - COVID-19
Joshi, Krishna Kumar
Gupta, Kamlesh
Agrawal, Jitendra
MULTIMEDIA TOOLS AND APPLICATIONS, 2023, 83 (13) : 39435 - 39457
[28] Machine Learning Approach for Autonomous Detection and Classification of COVID-19 Virus
Shahin, Osama R.
Alshammari, Hamoud H.
Taloba, Ahmed I.
Abd El-Aziz, Rasha M.
COMPUTERS & ELECTRICAL ENGINEERING, 2022, 101
[29] Diagnosis of COVID-19 with a Deep Learning Approach on Chest CT Slices
Yener, Fatma Muberra
Oktay, Ayse Betul
2020 MEDICAL TECHNOLOGIES CONGRESS (TIPTEKNO), 2020,
[30] COVID-19: a new deep learning computer-aided model for classification
Elzeki, Omar M.
Shams, Mahmoud
Sarhan, Shahenda
Abd Elfattah, Mohamed
Hassanien, Aboul Ella
PEERJ COMPUTER SCIENCE, 2021,

← 1 2 3 4 5 →