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Sentiment Analysis in Social Media, Aspect Extraction for

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Encyclopedia of Social Network Analysis and Mining

Synonyms

Entity extraction; Feature extraction; Target extraction

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...

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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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Correspondence to Lei Zhang .

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Zhang, L., Liu, B. (2018). Sentiment Analysis in Social Media, Aspect Extraction for. 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_110207

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