Abstract
Sentiment analysis (also called opinion mining) refers to the application of natural language processing, computational linguistics, and text analytics to identify and classify subjective opinions in source materials (e.g., a document or a sentence).Generally speaking, sentiment analysis aims to determine the attitude of a writer with respect to some topic or the overall contextual polarity of a document. The attitude may be his or her judgment or evaluation, affective state (that is to say, the emotional state of the author when writing), or the intended emotional communication (that is to say, the emotional effect the author wishes to have on the reader).
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© 2013 Springer Science+Business Media New York
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Luo, T., Chen, S., Xu, G., Zhou, J. (2013). Sentiment Analysis. In: Trust-based Collective View Prediction. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-7202-5_4
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DOI: https://doi.org/10.1007/978-1-4614-7202-5_4
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Print ISBN: 978-1-4614-7201-8
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