Extracting feelings of people regarding COVID-19 by social network mining
Hamed Vahdat-Nejad, Fatemeh Salmani, Mahdi Hajiabadi, Faezeh Azizi, Sajedeh Abbasi, Mohadese Jamalian and Reyhaneh Mosafer, Parsa Bagherzadeh and Hamideh Hajiabadi
| Year of publication: |
2022
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|---|---|
| Authors: | Vahdat-Nejad, Hamed ; Salmani, Fatemeh ; Hajiabadi, Mahdi ; Azizi, Faezeh ; Abbasi, Sajedeh ; Jamalian, Mohadese ; Mosafer, Reyhaneh ; Bagherzadeh, Parsa ; Hajiabadi, Hamideh |
| Published in: |
Journal of information & knowledge management : JIKM. - Singapore : World Scientific Publ., ISSN 0219-6492, ZDB-ID 2115864-2. - Vol. 21.2022, 1, Supp01, Art.-No. 2240008, p. 2240008-1-2240008-16
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| Subject: | COVID-19 | Natural language processing | sentiment analysis | social mining | text processing | Bergbau | Mining | Coronavirus | Soziales Netzwerk | Social network | Emotion | Data Mining | Data mining | Social Web | Social web | Text |
freely available
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1142/S0219649222400081 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10013269832