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Is there a learning method that is optimal for all text classification problems?
No, because there is a tradeoff between bias and variance.
Factors to take into account:
How much training data is available?
How simple/complex is the problem? (linear vs. nonlinear decision boundary)
How noisy is the data?
How stable is the problem over time?
For an unstable problem, it’s better to use a simple and robust classifier.
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