Abstract
To study the problem that the polarity and strength of the sentiment words not in lexicon cannot be calculated and classified effectively by lexicon-based classifiers, the EM-SO algorithm was proposed based on expectation maximization (EM) model for constructing and updating sentiment lexicon. Negative and intensifying components were designed upon semantic orientation calculator (SO-CAL) for capturing the combined effects of appraisal words and their modifiers. Experiments showed that the EM-SO algorithm and designed components outperform SO-CAL for the calculation performance of the polarity and strength of sentiment words on review sets.
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© 2013 Springer-Verlag London
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Miao, Y., Su, J., Liu, S., Wu, K. (2013). SO-CAL Based Method for Chinese Sentiment Analysis. In: Du, W. (eds) Informatics and Management Science IV. Lecture Notes in Electrical Engineering, vol 207. Springer, London. https://doi.org/10.1007/978-1-4471-4793-0_42
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DOI: https://doi.org/10.1007/978-1-4471-4793-0_42
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