Skip to main content
SpringerLink
Log in

Many Facets of Sentiment Analysis

  • Chapter
  • First Online:
A Practical Guide to Sentiment Analysis

Part of the book series: Socio-Affective Computing ((SAC,volume 5))

Abstract

Sentiment analysis or opinion mining is the computational study of people's opinions, sentiments, evaluations, attitudes, moods, and emotions. It is one of the most active research areas in natural language processing, data mining, information retrieval, and Web mining. In recent years, its research and applications have also spread to management sciences and social sciences due to its importance to business and society as a whole. This chapter defines the sentiment analysis problem and its related concepts such as sentiment, opinion, emotion, mood, and affect. The goal is to abstract a structure from the complex unstructured natural language text related to the problem and its pertinent concepts. The definitions not only enable us to see a rich set of inter-related sub-problems, but also a common framework that can unify existing research directions. They also help researchers design more robust solution techniques by exploiting the inter-relationships of the sub-problems.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    http://www.thefreedictionary.com/subjective

References

  • Alm, Ebba Cecilia Ovesdotter. 2008. Affect in text and speech: ProQuest.

    Google Scholar 

  • Arnold, Magda B. 1960. Emotion and personality. New York: Columbia University Press.

    Google Scholar 

  • Batson, C. Daniel, Laura L. Shaw, and Kathryn C. Oleson. 1992. Differentiating affect, mood, and emotion: Toward functionally based conceptual distinctions. Emotion Review of Personality and Social Psychology 13: 294–326.

    Google Scholar 

  • Bethard, Steven, Hong Yu, Ashley Thornton, Vasileios Hatzivassiloglou, and Dan Jurafsky. 2004. Automatic extraction of opinion propositions and their holders. In Proceedings of the AAAI spring symposium on exploring attitude and affect in text.

    Google Scholar 

  • Chaudhuri, Arjun. 2006. Emotion and reason in consumer behavior. Oxford: Elsevier Butterworth-Heinemann.

    Google Scholar 

  • Choi, Yejin, Claire Cardie, Ellen Riloff, and Siddharth Patwardhan. 2005. Identifying sources of opinions with conditional random fields and extraction patterns. In Proceedings of the human language technology conference and the conference on empirical methods in natural language processing (HLT/EMNLP-2005).

    Google Scholar 

  • Ekman, P., W.V. Friesen, and P. Ellsworth. 1982. What emotion categories or dimensions can observers judge from facial behavior? In Emotion in the human face, ed. P. Ekman, 98–110. Cambridge: Cambridge University Press.

    Google Scholar 

  • Gray, Jeffrey A. 1982. The neuropsychology of anxiety. Oxford: Oxford University Press.

    Google Scholar 

  • Hobbs, Jerry R., and Ellen Riloff. 2010. Information extraction. In In handbook of natural language processing, ed. N. Indurkhya and F.J. Damerau, 2nd ed. London: Chapman & Hall/CRC Press.

    Google Scholar 

  • Hu, Minqing and Bing Liu. 2004. Mining and summarizing customer reviews. In Proceedings of ACM SIGKDD international conference on Knowledge Discovery and Data Mining (KDD-2004).

    Google Scholar 

  • HUMAINE. 2006. Emotion annotation and representation language. Available from: http://emotion- research.net/projects/humaine/earl

  • Izard, Carroll Ellis. 1971. The face of emotion. New York: Appleton-Century-Crofts.

    Google Scholar 

  • James, William. 1884. What is an emotion? Mind 9: 188–205.

    Article  Google Scholar 

  • Jindal, Nitin and Bing Liu. 2006a. Identifying comparative sentences in text documents. In Proceedings of ACM SIGIR conference on research and development in information retrieval (SIGIR-2006).

    Google Scholar 

  • ———. 2006b. Mining comparative sentences and relations. In Proceedings of national conference on artificial intelligence (AAAI-2006).

    Google Scholar 

  • Kim, Soo-Min and Eduard Hovy. 2004. Determining the sentiment of opinions. In Proceedings of interntional conference on computational linguistics (COLING-2004).

    Google Scholar 

  • Liu, Bing. 2006. Web data mining: Exploring hyperlinks, contents, and usage data. Berlin: Springer.

    Google Scholar 

  • ———. 2010. Sentiment analysis and subjectivity, in Handbook of natural language processing, Second Edition, N. Indurkhya and F.J. Damerau, Editors.

    Google Scholar 

  • ———. 2015. Sentiment analysis: Mining opinions, sentiments, and emotions. Cambridge: Cambridge University Press.

    Book  Google Scholar 

  • Liu, Bing, Minqing Hu, and Junsheng Cheng. 2005. Opinion observer: Analyzing and comparing opinions on the web. Proceedings of international conference on world wide web (WWW-2005).

    Google Scholar 

  • McDougall, William. 1926. An introduction to social psychology. Boston: Luce.

    Google Scholar 

  • Mowrer, Orval Hobart. 1960. Learning theory and behavior. New York: Wiley.

    Book  Google Scholar 

  • Oatley, K., and P.N. Jobnson-Laird. 1987. Towards a cognitive theory of emotions. Cognition and Emotion 1: 29–50.

    Article  Google Scholar 

  • Ortony, Andrew, and Terence J. Turner. 1990. What’s basic about basic emotions? Psychological Review 97 (3): 315–331.

    Article  CAS  PubMed  Google Scholar 

  • Panksepp, Jaak. 1982. Toward a general psychobiological theory of emotions. Behavioral and Brain Sciences 5 (3): 407–422.

    Article  Google Scholar 

  • Parrott, W. Gerrod. 2001. Emotions in social psychology: Essential readings. Philadelphia: Psychology Press.

    Google Scholar 

  • Plutchik, Robert. 1980. A general psychoevolutionary theory of emotion. In Emotion: Theory, research, and experience: Vol. 1. Theories of emotion, ed. R. Plutchik and H. Kellerman, 3–33. New York: Academic Press.

    Google Scholar 

  • Qiu, Guang, Bing Liu, Bu Jiajun, and Chun Chen. 2011. Opinion word expansion and target extraction through double propagation. Computational Linguistics 37 (1): 9–27.

    Article  Google Scholar 

  • Russell, James A. 2003. Core affect and the psychological construction of emotion. Psychological Review 10 (1): 145–172.

    Article  Google Scholar 

  • Sarawagi, Sunita. 2008. Information extraction. Foundations and Trends in Databases 1 (3): 261–377.

    Article  Google Scholar 

  • Tomkins, Silvan. 1984. Affect theory. In Approaches to emotion, ed. K.R. Scherer and P. Ekman, 163–195. Hillsdale: Eribaum.

    Google Scholar 

  • Watson, John B. 1930. Behaviorism. Chicago: Chicago University Press.

    Google Scholar 

  • Weiner, B., and S. Graham. 1984. An attributional approach to emotional development. In Emotion, cognition and behavior, ed. C.E. Izard, J. Kagan, and R.B. Zajonc, 167–191. New York: Cambridge University Press.

    Google Scholar 

  • Wiebe, Janyce, Theresa Wilson, and Claire Cardie. 2005. Annotating expressions of opinions and emotions in language. Language Resources and Evaluation 39 (2): 165–210.

    Article  Google Scholar 

  • Zhang, Lei and Bing Liu. 2011. Identifying noun product features that imply opinions. In Proceedings of the annual meeting of the Association for Computational Linguistics (short paper) (ACL-2011).

    Google Scholar 

  • Zhuang, Li, Feng Jing, and Xiaoyan Zhu. 2006. Movie review mining and summarization. In Proceedings of ACM international conference on information and knowledge management (CIKM-2006).

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Computer Science, University of Illinois at Chicago, Chicago, IL, USA

    Bing Liu

Authors
  1. Bing Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Bing Liu .

Editor information

Editors and Affiliations

  1. School of Computer Science and Engineering, Nanyang Technological University, Singapore, Singapore

    Erik Cambria

  2. Computer Science and Engineering Department, Jadavpur University, Kolkata, India

    Dipankar Das

  3. Computer Science and Engineering Department, Jadavpur University, Kolkata, India

    Sivaji Bandyopadhyay

  4. Fraunhofer IDM@NTU, Nanyang Technological University, Singapore, Singapore

    Antonio Feraco

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this chapter

Cite this chapter

Liu, B. (2017). Many Facets of Sentiment Analysis. In: Cambria, E., Das, D., Bandyopadhyay, S., Feraco, A. (eds) A Practical Guide to Sentiment Analysis. Socio-Affective Computing, vol 5. Springer, Cham. https://doi.org/10.1007/978-3-319-55394-8_2

Download citation

Publish with us

Policies and ethics

Search

Navigation