DIEGOLab: An Approach for Message-level Sentiment Classification in Twitter

We present our supervised sentiment classification system which competed in SemEval2015 Task 10B: Sentiment Classification in Twitter— Message Polarity Classification. Our system employs a Support Vector Machine classifier trained using a number of features including n-grams, dependency parses, synset expansions, word prior polarities, and embedding… CONTINUE READING