The purpose of this paper is to propose a method of calculating the sentiment value of a tweet based on the emoticon role.
Classification of emoticon roles as four types showing “emphasis”, “assuagement”, “conversion” and “addition”, with roles determined based on the respective relations to sentiment of sentences and emoticons.
Clustering of users of four types based on emoticon sentiment.
Formalization, using regression analysis, of the relation of sentiment between sentences and emoticons in all roles.
This work was partially supported by Research Institute of Konan University, and by JSPS KAKENHI Grant Number 24500134 and 26330347.
Yamamoto, Y., Kumamoto, T. and Nadamoto, A. (2015), "Multidimensional sentiment calculation method for Twitter based on emoticons", International Journal of Pervasive Computing and Communications, Vol. 11 No. 2, pp. 212-232. https://doi.org/10.1108/IJPCC-03-2015-0019Download as .RIS
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