Newly-Coined Words and Emoticons Dictionary Construction for Social Data Sentiment Analysis
Abstract— In the composition of social networks and social networks services, most of articles are written with writer's personal ideas and emotions within 200 words. Social networks services produce social big data and provide vast volumes of data. Social big data has various types of text -centric data, photos, music and videos, and informal data. It is difficult to deal with social big data, sin ce it has rapid changes and volume growth. But, analysis of social big data may accept the online market trust agreement and establish national policies to support the marketing and strategy formulation of the company for marketing and strategy establishment. This paper proposes a new social big data analysis system that uses new-coined words and emoticons for social big data analysis. In this paper, we also construct a new dictionary of emoticons to improve the accuracy of big data analysis related to the public opinion, and to improve the accuracy of emot ional analysis using the existing emotional dictionaries and the newly constructed new emoticons and emoticon dict ionaries at the analysis stage. Especially, the accuracy of social big data analysis could be improved by quantifying and analyzing emot ional level about emoticons and new-coined words. This research built a dictionary of emoticons, and used the Naver open dictionary for newly-coined words. But, newly-coined words that were not included in the Naver open dictionary are added to proposed newly-coined words database.
Index Terms— Social media opinion, social big data, social big data analysis, emoticon, newly-coined words
Jin Sol Yang
Dept. of Computer Science, Graduate School of Korea National Open University, KOREA
Kwang Sik Chung
Dept. of Computer Science, Korea National Open University, KOREA
Cite: Jin Sol Yang, Kwang Sik Chung, "Newly-Coined Words and Emoticons Dictionary Construction for Social Data Sentiment Analysis," Proceedings of 2019 the 9th International Workshop on Computer Science and Engineering WCSE_2019_SPRING, pp. 81-85, Yangon, Myanmar, February 27-March 1, 2019.