Encyclopedia of Social Network Analysis and Mining

2018 Edition
| Editors: Reda Alhajj, Jon Rokne

Sentiment Analysis in Social Media, Aspect Extraction for

Reference work entry
DOI: https://doi.org/10.1007/978-1-4939-7131-2_110207

Synonyms

Glossary

Aspect-based sentiment analysis

Extract and summarize opinions on entities and aspects of entities from text

Sentiment analysis or opinion mining

Computational study of people’s opinions, sentiments, appraisals, attitudes, and emotions from text

Sentiment words or opinion words

Words bearing positive or negative sentiment

User-generated content

Contents created by users of social media, such as product reviews, forum discussions, blogs, and tweets

Definition

Aspect-based sentiment analysis is the computational study of people’s opinions, sentiments, appraisals, attitudes, and emotions toward entities and their aspects expressed in text.

Introduction

With the rapid growth of social media, sentiment analysis, also called opinion mining, has become one of the most active research areas in natural language processing, which also has widespread applications from business analytics to social study. Researchers have...

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Notes

Acknowledgments

Bing Liu’s work was partially supported by the National Science Foundation under the grants IIS-1407927 and IIS-1650900.

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Copyright information

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

Authors and Affiliations

  1. 1.LinkedInSunnyvaleUSA
  2. 2.Department of Computer ScienceUniversity of Illinois at ChicagoChicagoUSA

Section editors and affiliations

  • Guandong Xu
    • 1
  • Peng Cui
    • 2
  1. 1.University of Technology SydneySydneyAustralia
  2. 2.Tsinghua UniversityBeijingChina