What are the main challenges in text classification?
An example of an AI chatbot conversation about text classification challenges.
What are the main challenges in text classification?
Some key challenges include handling ambiguous language, dealing with imbalanced datasets, and ensuring context understanding.
How does ambiguous language affect classification accuracy?
Ambiguous language can lead to misclassification as the model may struggle to determine the correct context or meaning.
What strategies can be used to address imbalanced datasets?
Techniques like oversampling the minority class, undersampling the majority class, or using synthetic data generation can help.
Can you explain the importance of context in text classification?
Context helps the model understand nuances and relationships between words, improving accuracy in classification tasks.
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