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  • nldb-2016

    Rights statement: The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-41754-7_48

    Accepted author manuscript, 331 KB, Word document

    Available under license: CC BY-NC: Creative Commons Attribution-NonCommercial 4.0 International License

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Reversing the polarity with emoticons

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Abstract

Technology advancement in social media software allows users to include elements of visual communication in textual settings. Emoticons are widely used as visual representations of emotion and body expressions. However, the assignment of values to the “emoticons” in current sentiment analysis tools is still at a very early stage. This paper presents our experiments in which we study the impact of positive and negative emoticons on the classifications by fifteen different sentiment tools. The “smiley” :) and the “sad” emoticon :( and raw-text are compared to verify the degrees of sentiment polarity levels. Questionnaires were used to collect human ratings of the positive and negative values of a set of sample comments that end with these emoticons. Our results show that emoticons used in sentences are able to reverse the polarity of their true sentiment values.

Bibliographic note

The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-41754-7_48