Abstract
With the explosion of people’s attitudes and opinions expressed in socialmedia such as blogs, discussion forums, and tweets, detecting senti- ment or opinion from the Web is becoming an increasingly popular way of interpreting data. Sentiment analysis in social media allows business organizations to monitor their reputations, find public opinions about their products or services and those of their competitors, and provide them with insight into emerging trends and potential changes in market opinion, etc.
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CITATION STYLE
Abdi, H., Guillemot, V., Eslami, A., & Beaton, D. (2017). Canonical Correlation Analysis. In Encyclopedia of Social Network Analysis and Mining (pp. 1–16). Springer New York. https://doi.org/10.1007/978-1-4614-7163-9_110191-1
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