Machine Learning and Lexicon Based Methods for Sentiment Classification: A Survey

@inproceedings{Hailong2014MachineLA,
  title={Machine Learning and Lexicon Based Methods for Sentiment Classification: A Survey},
  author={Zhang Hailong and Gan Wenyan and Jiang Fei Bo},
  year={2014}
}
Sentiment classification is an important subject in text mining research, which concerns the application of automatic methods for predicting the orientation of sentiment present on text documents, with many applications on a number of areas including recommender and advertising systems, customer intelligence and information retrieval. In this paper, we provide a survey and comparative study of existing techniques for opinion mining including machine learning and lexicon-based approaches… CONTINUE READING

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