Reversing the polarity with emoticons

Teh, Phoey Lee and Rayson, Paul Edward and Pak, Irina and Piao, Scott Songlin and Yeng, Seow Mei (2016) Reversing the polarity with emoticons. In: Natural Language Processing and Information Systems : 21st International Conference on Applications of Natural Language to Information Systems, NLDB 2016, Salford, UK, June 22-24, 2016, Proceedings. Lecture Notes in Computer Science . Springer, GBR, pp. 453-458. ISBN 9783319417530

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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.