Sentiment classification on customer feedback data

摘要: We demonstrate that it is possible to perform automatic sentiment classification in the very noisy domain of customer feedback data. show by using large feature vectors combination with reduction, we can train linear support vector machines achieve high accuracy on data present challenges even for a human annotator. also that, surprisingly, addition deep linguistic analysis features set surface level word n-gram contributes consistently this domain.