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Temporal Analysis of Comparative Opinion Mining

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Digital Libraries: Knowledge, Information, and Data in an Open Access Society (ICADL 2016)

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Abstract

Social media have become a popular platform for people to share their opinions and emotions. Analyzing opinions that are posted on the web is very important since they influence future decisions of organizations and people. Comparative opinion mining is a subfield of opinion mining that deals with identifying and extracting information that is expressed in a comparative form. Due to the fact that there is a huge amount of opinions posted online everyday, analyzing comparative opinions from a temporal perspective is an important application that needs to be explored. This study introduces the idea of integrating temporal elements in comparative opinion mining. Different type of results can be obtained from the temporal analysis, including trend analysis, competitive analysis as well as burst detection. In our study we show that temporal analysis of comparative opinion mining provides more current and relevant information to users compared to standard opinion mining.

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Notes

  1. 1.

    See: http://www.epinions.com/.

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Acknowledgments

This research was partially funded by Swiss Secretariat of Education, Research and Innovation (SERI).

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Authors and Affiliations

  1. Department of Information System, Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia

    Kasturi Dewi Varathan

  2. Faculty of Informatics, Università Della Svizzera Italiana (USI), Lugano, Switzerland

    Anastasia Giachanou & Fabio Crestani

Authors
  1. Kasturi Dewi Varathan
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  2. Anastasia Giachanou
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  3. Fabio Crestani
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Corresponding author

Correspondence to Kasturi Dewi Varathan .

Editor information

Editors and Affiliations

  1. University of Tsukuba, Tsukuba, Japan

    Atsuyuki Morishima

  2. Vienna University of Technology, Vienna, Austria

    Andreas Rauber

  3. Victoria University of Wellington, Wellington, New Zealand

    Chern Li Liew

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Varathan, K.D., Giachanou, A., Crestani, F. (2016). Temporal Analysis of Comparative Opinion Mining. In: Morishima, A., Rauber, A., Liew, C. (eds) Digital Libraries: Knowledge, Information, and Data in an Open Access Society. ICADL 2016. Lecture Notes in Computer Science(), vol 10075. Springer, Cham. https://doi.org/10.1007/978-3-319-49304-6_36

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  • DOI: https://doi.org/10.1007/978-3-319-49304-6_36

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  • Online ISBN: 978-3-319-49304-6

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