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Working with the Bangla language presents unique challenges. **Bangla is a morphologically rich language**, meaning that words can have many different forms depending on their grammatical function. This complexity makes it difficult to apply many of the standard NLP techniques that have been developed for English. Furthermore, there is a relative scarcity of labeled data rumah sakit columbia asia jakarta for Bangla NLP tasks, including fake news detection. Labeled data is essential for training deep learning models, as it provides the ground truth that the models learn from. The lack of labeled data for Bangla fake news detection means that researchers have to either create their own datasets or rely on smaller, less comprehensive datasets.
