I have a problem in Text Classification.
After classifying a Sample news manually into FIVE Groups like
Highly Positive , Positive , Neutral , Negative & Highly Negative number of Samples are small in Highly Positive & Highly Negative category.
Almost all classifiers including XgBoost , Random Forest are misidentifying the Samples with less representation.
How to get over this problem ?
ScottF
2
This sounds like the classic rare event problem. You might check the threads I’ve linked below - this is something that comes up now and again:
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system
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