Abstract
Jia F, Chen C-C. Emotional characteristics and time series analysis of Internet public opinion participants based on emotional feature words. Int J Adv Robot Syst 2020; 17(1). First published online, February 18, 2020. doi:10.1177/1729881420904213
To verify the statistical accuracy of the emotional word dictionary designed in the above article, a simple simulation method was used to analyze the emotional tendency of the text, using an emotional dictionary to select the emotional characteristics of the text, and then comparing the extended emotions with data sets related to the basic dictionary. The procedure was as follows: the dictionary was searched on the Sina Weibo search engine: if more than 20 popular results were obtained, it was considered that the word can exist in the dictionary, that is, the statistical algorithm of the word was accurate. Using this method, all words in the dictionary were statistically verified, and then the verification results were counted.