Finding the Relationship Between News and Social Media Users’ Emotions in the COVID-19 Process
Nowadays, social media and online sharing sites are frequently used to share thoughts about daily events. Thanks to the posts made by internet users on these platforms, first, quite big data is generated to interpret the agenda. More than 10,000 comments of more than 5000 users made about COVID-19 f...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Sakarya University
2020-12-01
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| Series: | Sakarya University Journal of Computer and Information Sciences |
| Subjects: | |
| Online Access: | https://dergipark.org.tr/tr/download/article-file/1413664 |
| _version_ | 1797351811784376320 |
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| author | İrfan Aygün Mehmet Kaya Ahmet Anıl Müngen |
| author_facet | İrfan Aygün Mehmet Kaya Ahmet Anıl Müngen |
| author_sort | İrfan Aygün |
| collection | DOAJ |
| description | Nowadays, social media and online sharing sites are frequently used to share thoughts about daily events. Thanks to the posts made by internet users on these platforms, first, quite big data is generated to interpret the agenda. More than 10,000 comments of more than 5000 users made about COVID-19 from online websites between 15 March and 15 May were collected in this study. Then, emotional analysis on these comments was carried out with BERT, GRU, LSTM and TF-IDF methods. The changes in the amount of user comments and the emotions reflected by the comments have been associated with the actual events of these dates. It has been determined which types of events affect users more. In addition, the emotional response changes of the users to the official COVID-19 statistics were measured and the peak points of the emotional changes were determined. Finally, the emotion classification methods applied were evaluated by user questionnaires and their successes were determined according to F-Measure. |
| first_indexed | 2024-03-08T13:06:56Z |
| format | Article |
| id | doaj.art-1c824bd45e064c8ca420ab3a018b6d65 |
| institution | Directory Open Access Journal |
| issn | 2636-8129 |
| language | English |
| last_indexed | 2024-03-08T13:06:56Z |
| publishDate | 2020-12-01 |
| publisher | Sakarya University |
| record_format | Article |
| series | Sakarya University Journal of Computer and Information Sciences |
| spelling | doaj.art-1c824bd45e064c8ca420ab3a018b6d652024-01-18T16:44:35ZengSakarya UniversitySakarya University Journal of Computer and Information Sciences2636-81292020-12-013325026310.35377/saucis.03.03.83086728Finding the Relationship Between News and Social Media Users’ Emotions in the COVID-19 Processİrfan Aygün0Mehmet Kaya1Ahmet Anıl Müngen2MANISA CELAL BAYAR UNIVERSITYFIRAT UNIVERSITYOSTIM TECHNICAL UNIVERSITYNowadays, social media and online sharing sites are frequently used to share thoughts about daily events. Thanks to the posts made by internet users on these platforms, first, quite big data is generated to interpret the agenda. More than 10,000 comments of more than 5000 users made about COVID-19 from online websites between 15 March and 15 May were collected in this study. Then, emotional analysis on these comments was carried out with BERT, GRU, LSTM and TF-IDF methods. The changes in the amount of user comments and the emotions reflected by the comments have been associated with the actual events of these dates. It has been determined which types of events affect users more. In addition, the emotional response changes of the users to the official COVID-19 statistics were measured and the peak points of the emotional changes were determined. Finally, the emotion classification methods applied were evaluated by user questionnaires and their successes were determined according to F-Measure.https://dergipark.org.tr/tr/download/article-file/1413664covid-19lstmbertsentiment analysistf-idf |
| spellingShingle | İrfan Aygün Mehmet Kaya Ahmet Anıl Müngen Finding the Relationship Between News and Social Media Users’ Emotions in the COVID-19 Process Sakarya University Journal of Computer and Information Sciences covid-19 lstm bert sentiment analysis tf-idf |
| title | Finding the Relationship Between News and Social Media Users’ Emotions in the COVID-19 Process |
| title_full | Finding the Relationship Between News and Social Media Users’ Emotions in the COVID-19 Process |
| title_fullStr | Finding the Relationship Between News and Social Media Users’ Emotions in the COVID-19 Process |
| title_full_unstemmed | Finding the Relationship Between News and Social Media Users’ Emotions in the COVID-19 Process |
| title_short | Finding the Relationship Between News and Social Media Users’ Emotions in the COVID-19 Process |
| title_sort | finding the relationship between news and social media users emotions in the covid 19 process |
| topic | covid-19 lstm bert sentiment analysis tf-idf |
| url | https://dergipark.org.tr/tr/download/article-file/1413664 |
| work_keys_str_mv | AT irfanaygun findingtherelationshipbetweennewsandsocialmediausersemotionsinthecovid19process AT mehmetkaya findingtherelationshipbetweennewsandsocialmediausersemotionsinthecovid19process AT ahmetanılmungen findingtherelationshipbetweennewsandsocialmediausersemotionsinthecovid19process |