Özet
In this study, it is aimed to predict the Istanbul Mayoral election which was held on 23 June 2019 with the data collected through the APIs provided by Twitter. Machine learning models were built on a sample data which was labeled manually. Then, these ML models were applied on the whole tweet data set to predict sentiments of tweets regarding candidates. Among applied ML methods, Logistic Regression provided best result for this study. Using predicted sentiments, voting rates for candidates are estimated following different approaches. 2.2% MAE for the voting rates was achieved with the best prediction.
| Orijinal dil | İngilizce |
|---|---|
| Ana bilgisayar yayını başlığı | Proceedings - 2020 Innovations in Intelligent Systems and Applications Conference, ASYU 2020 |
| Yayınlayan | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Elektronik) | 9781728191362 |
| DOI'lar | |
| Yayın durumu | Yayınlandı - 15 Eki 2020 |
| Etkinlik | 2020 Innovations in Intelligent Systems and Applications Conference, ASYU 2020 - Istanbul, Turkey Süre: 15 Eki 2020 → 17 Eki 2020 |
Yayın serisi
| Adı | Proceedings - 2020 Innovations in Intelligent Systems and Applications Conference, ASYU 2020 |
|---|
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| ???event.eventtypes.event.conference??? | 2020 Innovations in Intelligent Systems and Applications Conference, ASYU 2020 |
|---|---|
| Ülke/Bölge | Turkey |
| Şehir | Istanbul |
| Periyot | 15/10/20 → 17/10/20 |
Bibliyografik not
Publisher Copyright:© 2020 IEEE.
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