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;
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[21]   Flood Mapping Using Twitter Crowdsourcing Data with Rainfall Data Analysis (Case Study: Jakarta, January 2020) [J].
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Farda, Nur Mohammad ;
Berlyanti, Monica Chyntia .
EIGHTH GEOINFORMATION SCIENCE SYMPOSIUM 2023: GEOINFORMATION SCIENCE FOR SUSTAINABLE PLANET, 2024, 12977
[22]   Analyzing QAnon on Twitter in Context of US Elections 2020: Analysis of User Messages and Profiles Using VADER and BERT Topic modeling [J].
Anwar, Ahmed ;
Ilyas, Sardar Haider Waseem ;
Yaqub, Ussama ;
Zaman, Salma .
PROCEEDINGS OF THE 22ND ANNUAL INTERNATIONAL CONFERENCE ON DIGITAL GOVERNMENT RESEARCH, DGO 2021, 2021, :82-88
[23]   Sentiment Analysis and Topic Modelling of 2018 Central Java']Java Gubernatorial Election using Twitter Data [J].
Wisnu, Gede Rizky Gustisa ;
Ahmadi ;
Muttaqi, Ahmad Rizaqu ;
Santoso, Aris Budi ;
Putra, Prabu Kresna ;
Budi, Indra .
2020 5TH INTERNATIONAL WORKSHOP ON BIG DATA AND INFORMATION SECURITY (IWBIS 2020), 2020, :37-42
[24]   ANALYZING COMPANY'S STOCK PRICE MOVEMENT USING PUBLIC SENTIMENT IN TWITTER DATA [J].
Thirugnanam, Mythili ;
Patel, Smit ;
Vyas, Prakhar ;
Thirugnanam, Tamizharasi .
IIOAB JOURNAL, 2016, 7 :127-136
[25]   Hey Google! will New Zealand vote to legalise cannabis? Using Google Trends data to predict the outcome of the 2020 New Zealand cannabis referendum [J].
Raubenheimer, Jacques Eugene ;
Riordan, Benjamin C. ;
Merrill, Jennifer E. ;
Winter, Taylor ;
Ward, Rose Marie ;
Scarf, Damian ;
Buckley, Nicholas A. .
INTERNATIONAL JOURNAL OF DRUG POLICY, 2021, 90
[26]   Analyzing Social Network Data Using Deep Neural Networks: A Case Study Using Twitter Posts [J].
Liao, Wen-Hung ;
Huang, Yen-Ting ;
Yang, Tsu-Hsuan ;
Wu, Yi-Chieh .
2019 IEEE INTERNATIONAL SYMPOSIUM ON MULTIMEDIA (ISM 2019), 2019, :237-238
[27]   Predicting and analyzing suicidal risk behavior using rule-based approach in Twitter data [J].
Kumar, E. Rajesh ;
Venkatram, N. .
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[28]   Sentiment Analysis on COVID-19-Related Social Distancing in Canada Using Twitter Data [J].
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Abidi, Samina .
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2021, 18 (11)
[29]   Analyzing product attributes and brand sentiment of smartwatches using Twitter/X data from a time series perspective [J].
Xu, Zhenning ;
Kohli, Amarpreet ;
Nkhalamba, Solomon ;
Gai, Lili .
JOURNAL OF MARKETING ANALYTICS, 2024,
[30]   Social Media as a Sensor: Analyzing Twitter Data for Breast Cancer Medication Effects Using Natural Language Processing [J].
Kobara, Seibi ;
Rafiei, Alireza ;
Nateghi, Masoud ;
Bozkurt, Selen ;
Kamaleswaran, Rishikesan ;
Sarker, Abeed .
ARTIFICIAL INTELLIGENCE IN MEDICINE, PT I, AIME 2024, 2024, 14844 :345-354