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).
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2013 Springer Science+Business Media New York
About this chapter
Cite this chapter
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
Download citation
DOI: https://doi.org/10.1007/978-1-4614-7202-5_4
Published:
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4614-7201-8
Online ISBN: 978-1-4614-7202-5
eBook Packages: Computer ScienceComputer Science (R0)