Authors: Kangbok Lee; Jongbum Baik; Soowon Lee
Addresses: Soongsil University, Sangdo 1-dong, Dongjak-gu, Seoul, Korea ' Soongsil University, Sangdo 1-dong, Dongjak-gu, Seoul, Korea ' Soongsil University, Sangdo 1-dong, Dongjak-gu, Seoul, Korea
Abstract: Identifying the sentiment orientation and strength of a sentence or phrase is one of the crucial issues in opinion mining. A dictionary approach to this problem is to use the sentiment orientations and strengths for the words included in a given document unit. This paper proposes a novel method for estimating the sentiment strength of a word using similarities between a target sentiment word and sentiment words in dictionary. To calculate the word similarity, we introduce the notions of relative similarity and adjusted similarity. The experimental results from the analysis of Facebook text data demonstrate the effectiveness of the proposed method in terms of the root-mean-square-error.
Keywords: sentiment strength; word similarity; sentiment analysis; relative similarity; adjusted similarity.
International Journal of Information Technology and Management, 2018 Vol.17 No.1/2, pp.92 - 112
Accepted: 11 May 2016
Published online: 18 Jan 2018 *