Classifier details

Basic data
Classifier ID32
TitleSentiment (Tweets)
DescriptionThis classifier has been trained with tweets classified by sentiment (positive or negative). Use it to classify Tweets or conversations. The original tweets contained positive or negative emoticons that defined the sentiment and have been filtered out.
Created2012-01-19 14:11:04 MET
Distinct texts49911
Precision (biased) 78.9465% (sample standard deviation: 0.452788%)
Precision (unbiased) 78.9465% (sample standard deviation: 0.456788%)
Precision has been measured with 10-fold cross-validation

Training class distribution

Precision per class

Class Precision (biased) Precision (unbiased) % of mistakes (biased) % of mistakes (unbiased)
negative 85.5189% 85.539% 65.6357% 65.6833%
positive 72.3844% 72.3644% 34.3643% 34.3167%

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