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Mexican International Conference on Artificial Intelligence

MICAI 2013: Advances in Soft Computing and Its Applications pp 478–483Cite as

An Introduction to Concept-Level Sentiment Analysis

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8266))

Abstract

The ways people express their opinions and sentiments have radically changed in the past few years thanks to the advent of social networks, web communities, blogs, wikis, and other online collaborative media. The distillation of knowledge from the huge amount of unstructured information on the Web can be a key factor for marketers who want to create an image or identity in the minds of their customers for their product or brand. These online social data, however, remain hardly accessible to computers, as they are specifically meant for human consumption. The automatic analysis of online opinions, in fact, involves a deep understanding of natural language text by machines, from which we are still very far. To this end, concept-level sentiment analysis aims to go beyond a mere word-level analysis of text and provide novel approaches to opinion mining and sentiment analysis that enable a more efficient passage from (unstructured) textual information to (structured) machine-processable data, in potentially any domain.

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Author information

Authors and Affiliations

  1. Temasek Laboratories, National University of Singapore, Singapore

    Erik Cambria

Authors
  1. Erik Cambria
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Editor information

Editors and Affiliations

  1. Universidad Autónoma del Estado de Hidalgo, Ciudad Universitaria, Carretera Pachuca–Tulancingo km 4.5, Hidalgo, Mexico

    Félix Castro

  2. Centro de Investigación en Computación, Instituto Politécnico Nacional, Av. Juan Dios Bátiz s/n, Col. Nueva Industrial Vallejo, 07738, Mexico City, Mexico

    Alexander Gelbukh

  3. Tecnológico de Monterrey, Campus Estado de México, Carretera Lago de Guadalupe Km 3.5, Atizapán de Zaragoza, 52926, Estado de México, CP, Mexico

    Miguel González

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© 2013 Springer-Verlag Berlin Heidelberg

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Cambria, E. (2013). An Introduction to Concept-Level Sentiment Analysis. In: Castro, F., Gelbukh, A., González, M. (eds) Advances in Soft Computing and Its Applications. MICAI 2013. Lecture Notes in Computer Science(), vol 8266. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-45111-9_41

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  • DOI: https://doi.org/10.1007/978-3-642-45111-9_41

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-45110-2

  • Online ISBN: 978-3-642-45111-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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