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Gender Prediction for Chinese Social Media Data

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Figure

Table 1: Number of n-grams in training
Table 2: Results on noisy data (%), with (10,000)character-based n-grams (All model): Test: 2,875F, 2,125 M.
Table 4: Quartiles for confidence/length of Al lmodel.
Table 6: Human judgment results (%) for Weibo(M/F = male/female annotator)

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