COMPARISON OF DATA MODELS FOR UNSUPERVISED TWITTER SENTIMENT ANALYSIS
Identifying the sentiment of collected tweets has become a challenging and interesting task. In addition, mining and defining relevant features that can improve the quality of a classification system is crucial. The data modeling phase is fundamental for the whole process since it can reveal hidden...
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| Format: | Article |
| Language: | English |
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Babes-Bolyai University, Cluj-Napoca
2023-05-01
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| Series: | Studia Universitatis Babes-Bolyai: Series Informatica |
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| Online Access: | http://193.231.18.162/index.php/subbinformatica/article/view/5804 |