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International Journal of Information and Communication Technology Research (IJICT، جلد ۱۴، شماره ۲، صفحات ۲۳-۳۱
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| عنوان فارسی |
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| چکیده فارسی مقاله |
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| کلیدواژه‌های فارسی مقاله |
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| عنوان انگلیسی |
arge-Scale Twitter Mining for Extracting the Psychological Impacts of COVID-19 |
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| چکیده انگلیسی مقاله |
The outbreak of the COVID-19 in 2020 and lack of an effective cure caused psychological problems among humans. This has been reflected widely on social media. Analyzing a large number of English tweets posted in the early stages of the pandemic, this paper addresses three psychological parameters: fear, hope, and depression. The main issue is the extraction of the related tweets with each of these parameters. To this end, three lexicons are proposed for these psychological parameters to extract the tweets through content analysis. A lexicon-based method is then used with GEO Names (i.e. a geographical database) to label tweets with country tags. Fear, hope, and depression trends are then extracted for the entire world and 30 countries. According to the analysis of results, there is a high correlation between the frequency of tweets and the official daily statistics of active cases in many countries. Moreover, fear tweets dominate hope tweets in most countries, something which shows the worldwide fear in the early months of the pandemic. Ultimately, the diagrams of many countries demonstrate unusual spikes caused by the dissemination of specific news and announcements. |
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| کلیدواژه‌های انگلیسی مقاله |
natural language processing, emotion analysis, knowledge extraction, data mining. |
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| نویسندگان مقاله |
| Hamed Vahdat-Nejad
Perlab, Faculty of Electrical and Computer Engineering University of Birjand Birjand, Iran
| Faezeh Azizi
Perlab, Faculty of Electrical and Computer Engineering University of Birjand Birjand, Iran
| Mahdi Hajiabadi
Perlab, Faculty of Electrical and Computer Engineering University of Birjand Birjand, Iran
| Fatemeh Salmani
Perlab, Faculty of Electrical and Computer Engineering University of Birjand Birjand, Iran
| Sajedeh Abbasi
Perlab, Faculty of Electrical and Computer Engineering University of Birjand Birjand, Iran
| Mohadese Jamalian
Perlab, Faculty of Electrical and Computer Engineering University of Birjand Birjand, Iran
| Reyhane Mosafer
Perlab, Faculty of Electrical and Computer Engineering University of Birjand Birjand, Iran
| Hamideh Hajiabadi
Perlab, Faculty of Electrical and Computer Engineering University of Birjand Birjand, Iran
| Wathiq Mansoor
Department of Electrical Engineering University of Dubai Dubai, UAE
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| نشانی اینترنتی |
http://ijict.itrc.ac.ir/browse.php?a_code=A-10-4381-1&slc_lang=other&sid=1 |
| فایل مقاله |
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| کد مقاله (doi) |
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| زبان مقاله منتشر شده |
other |
| موضوعات مقاله منتشر شده |
فناوری اطلاعات |
| نوع مقاله منتشر شده |
پژوهشی |
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