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Introducing Connotation Similarity

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Advances on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC 2019)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 96))

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Abstract

Various different measures of textual similarity exist including string-based, corpus-based, knowledge-based, and hybrid-based measures. To our knowledge, none of them examine the textual connotation of two different sentences for the purpose of establishing whether they express a similar opinion. Connotation, within the context of this work, is the negative, positive, or neutral emotional meaning of words or phrases. In this paper we define a new type of a similarity measure mathematically, namely connotation similarity. It evaluates how similar the emotional meanings of two sentences are using opinion mining, which is also known as sentiment analysis. We compare two different algorithms of our definition of connotation similarity against various algorithms of cosine similarity using one dataset of 100 pairs of sentences, and another dataset of 8 pairs. We show how connotation similarity can be used on its own to indicate whether two sentences express a similar opinion, and also how it can be used to improve other similarity measures such as cosine similarity.

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Author information

Authors and Affiliations

  1. Department of Electrical and Computer Engineering, University of Victoria, Victoria, BC, V8P5C2, Canada

    Marina Danchovsky Ibrishimova & Kin Fun Li

Authors
  1. Marina Danchovsky Ibrishimova
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  2. Kin Fun Li
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Corresponding author

Correspondence to Kin Fun Li .

Editor information

Editors and Affiliations

  1. Department of Information and Communication Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

  2. University of Antwerp, Antwerpen, Belgium

    Peter Hellinckx

  3. Chiang Mai University, Chiang Mai, Thailand

    Juggapong Natwichai

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Ibrishimova, M.D., Li, K.F. (2020). Introducing Connotation Similarity. In: Barolli, L., Hellinckx, P., Natwichai, J. (eds) Advances on P2P, Parallel, Grid, Cloud and Internet Computing. 3PGCIC 2019. Lecture Notes in Networks and Systems, vol 96. Springer, Cham. https://doi.org/10.1007/978-3-030-33509-0_13

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  • DOI: https://doi.org/10.1007/978-3-030-33509-0_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-33508-3

  • Online ISBN: 978-3-030-33509-0

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