Analyzing sentiments and themes on cannabis in Canada using 2018 to 2020 Twitter data

被引：0
|
作者：
Maisam Najafizada
Arifur Rahman
Jennifer Donnan
Zhihao Dong
Lisa Bishop
机构：
[1] Memorial University,Faculty of Medicine
[2] Memorial University,School of Pharmacy
[3] Memorial University,Department of Computer Science
来源：
Journal of Cannabis Research | / 4卷
关键词：
Cannabis; Twitter; Cannabis Policy; Social media; Sentiment analysis; Content analysis;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 35 条
  • [11] Analyzing Bandung Public Mood Using Twitter Data
    Akbarisanto, Ridho
    Danar, Wikan
    Purwarianti, Ayu
    2016 4TH INTERNATIONAL CONFERENCE ON INFORMATION AND COMMUNICATION TECHNOLOGY (ICOICT), 2016,
  • [12] PERFORMANCE OF BIG DATA ANALYSIS OF SENTIMENTS IN TWITTER DATASET USING SVM MODELS
    Nanjundan, Preethi
    Maheswari, K.
    Ramakrishnan, Jayabrabu
    Mavalur, Dinesh
    Mubarakali, Azath
    Ramkumar, S.
    INTERNATIONAL TRANSACTION JOURNAL OF ENGINEERING MANAGEMENT & APPLIED SCIENCES & TECHNOLOGIES, 2020, 11 (13):
  • [13] Feeling the heat? Analyzing climate change sentiment in Spain using Twitter data
    Loureiro, Maria L.
    Allo, Maria
    RESOURCE AND ENERGY ECONOMICS, 2024, 77
  • [14] Using big data analytics to study brand authenticity sentiments: The case of Starbucks on Twitter
    Shirdastian, Hamid
    Laroche, Michel
    Richard, Marie-Odile
    INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT, 2019, 48 : 291 - 307
  • [15] Trends in the use of cannabis products in Canada and the USA, 2018-2020: Findings from the International Cannabis Policy Study
    Hammond, David
    Goodman, Samantha
    Wadsworth, Elle
    Freeman, Tom P.
    Kilmer, Beau
    Schauer, Gillian
    Pacula, Rosalie Liccardo
    Hall, Wayne
    INTERNATIONAL JOURNAL OF DRUG POLICY, 2022, 105
  • [16] Navigating the Digital Neurolandscape: Analyzing the Social Perception of and Sentiments Regarding Neurological Disorders through Topic Modeling and Unsupervised Research Using Twitter
    Domingo-Espineira, Javier
    Fraile-Martinez, Oscar
    Garcia-Montero, Cielo
    Montero, Maria
    Varaona, Andrea
    Lara-Abelenda, Francisco J.
    Ortega, Miguel A.
    Alvarez-Mon, Melchor
    Alvarez-Mon, Miguel Angel
    INFORMATION, 2024, 15 (03)
  • [17] Analyzing the Twitter Data Stream Using the Snap! Learning Environment
    Grillenberger, Andreas
    Romeike, Ralf
    INFORMATICS IN SCHOOLS: CURRICULA, COMPETENCES, AND COMPETITIONS, 2015, 9378 : 155 - 164
  • [18] Analyzing Arabic Twitter-Based Patient Experience Sentiments Using Multi-Dialect Arabic Bidirectional Encoder Representations from Transformers
    Almuhaideb, Sarab
    Alnegheimish, Yasmeen
    Alomar, Taif
    Alsabti, Reem
    Alkathery, Maha
    Alolyyan, Ghala
    CMC-COMPUTERS MATERIALS & CONTINUA, 2023, 76 (01): : 195 - 220
  • [19] US presidential election 2020 prediction based on Twitter data using lexicon-based sentiment analysis
    Nugroho, Deni Kurnianto
    2021 11TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING, DATA SCIENCE & ENGINEERING (CONFLUENCE 2021), 2021, : 136 - 141
  • [20] Analyzing patients satisfaction level for medical services using twitter data
    Usman, Muhammad
    Mujahid, Muhammad
    Rustam, Furqan
    Flores, Emmanuel Soriano
    Mazon, Juan Luis Vidal
    Diez, Isabel de la Torre
    Ashraf, Imran
    PEERJ COMPUTER SCIENCE, 2024, 10
1234