Encyclopedia of Social Network Analysis and Mining

2018 Edition
| Editors: Reda Alhajj, Jon Rokne

Multi-classifier System for Sentiment Analysis and Opinion Mining

Reference work entry
DOI: https://doi.org/10.1007/978-1-4939-7131-2_351

Synonyms

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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Notes

Acknowledgments

We would like to thank Francis Quintal Lauzon from LIVIA (Laboratoire d’imagerie, de vision et d’intelligence artificielle) for his valuable advices.

References

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Copyright information

© Springer Science+Business Media LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.École de technologie supérieureMontreálCanada

Section editors and affiliations

  • Fakhreddine Karray
    • 1
  1. 1.Department of Electrical and Computer Engineering, Centre for Pattern Analysis and Machine Intelligence (CPAMI)University of WaterlooWaterlooCanada