NTNU: Domain Semi-Independent Short Message Sentiment Classification
نویسندگان
چکیده
The paper describes experiments using grid searches over various combinations of machine learning algorithms, features and preprocessing strategies in order to produce the optimal systems for sentiment classification of microblog messages. The approach is fairly domain independent, as demonstrated by the systems achieving quite competitive results when applied to short text message data, i.e., input they were not originally trained on.
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تاریخ انتشار 2013