Glossary
- AUC:
-
Area Under Curve
- EER:
-
Equal Error Rate
- FPR:
-
False-Positive Rate
- IBC:
-
Iterative Boolean Combination
- MCS:
-
Multi-classifier System
- MRROC:
-
Maximum Realizable ROC
- ROC:
-
Receiver Operating Characteristics
- TPR:
-
True-Positive Rates
Definition
Sentiment Analysis and Opinion Mining is a subfield of Text Mining which aims at identifying the sentiment of people with respect to a specific subject. This subjective information is extracted from texts by using a combination of machine learning and natural language processing techniques.
Introduction
Due to the large amount of information contained in Twitter messages, often consisting of opinions about different subjects, they quickly became an attractive source of data for Sentiment Analysis and Opinion Mining (Go et al. 2009; Tumasjan et al. 2010; Pak and Paroubek 2010; Davidov et al. 2010; Bifet and Frank 2010;...
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Acknowledgments
We would like to thank Francis Quintal Lauzon from LIVIA (Laboratoire d’imagerie, de vision et d’intelligence artificielle) for his valuable advices.
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Batista, L., Ratté, S. (2018). Multi-classifier System for Sentiment Analysis and Opinion Mining. In: Alhajj, R., Rokne, J. (eds) Encyclopedia of Social Network Analysis and Mining. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-7131-2_351
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DOI: https://doi.org/10.1007/978-1-4939-7131-2_351
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