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Performance of classifier-feature extraction methods in the analysis of positive perception causes As seen in Table 14, the model with the highest performance in the analysis of positive perception causes is the Deep Learning classifier using term-based 2-Gram feature extraction method, which achieved an accuracy rate of 67.88%. The table below shows the prediction results of sentiment analysis performed using this model. Number of predicted tweets: 12854 Accuracy: 68,48
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This study examines the perception of Syrian refugees who have migrated to Turkey within the Turkish public. For this purpose, the reasons for Syrian refugees' migration to Turkey, their population in Turkey, their distribution in Turkey, their education status and enrollment rates, their working lives, their impact on the economy, the aid provided...
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