ABSTRACT
In1 this paper, the object of the study is to locate the emotional words. The purpose of this study is to analyze the content of the text and to quantify the polarity and the rough polarity of the emotional words in the text, and see how the emotional words used by the characters have an influence on the character's character shaping. Because "malice" is a reasoning novel, the emotional words used in the text will change with the development of the plot, which is very beneficial to the realization of the text research goal. At the same time, for the purpose of this article, it is necessary to study the development and change of the plot and the change of the use of emotional words, so it is more valuable to study the characters of the characters in this article.
- Liu Ping Ping, Zhu Yanhui, Li Chun Liang, Xiang Hua Zheng, and Wen Zhiqiang. 2009. Construction method of Chinese basic emotional lexicon dictionary. Computer Application, 2875--287.Google Scholar
- Song Hongyan, Liu Jun, Liu Quansheng, and Huang Gaohui. 2009. Construction of the corpus of subjective text tagging of Chinese opinion type. Journal of Chinese information, 123--128.Google Scholar
- Xu Linhong, Lin Hongfei, and Zhao Jing. 2008. Construction and analysis of emotional corpus. Chinese Journal of Information, 116--122.Google Scholar
- Lu Bin, Wan Xiaojun, and Yang Jianwu. 2007. Calculation of lexical commendatory and derogatory calculation based on synonym words. Chinese Computing Technology and Language Problems, 17--23.Google Scholar
- Ye Qiang, Zhang Ziqiong, and Luo Zhenxiong. 2007. Research on the automatic Chinese subjectivity discriminant method for the emotional analysis of Internet reviews. Information Systems Journal, 79--91.Google Scholar
- Zhang Wei, Li Peifeng, and Zhu Qiaoming. 2011. Research on sentiment classification of English sentences based on tree kernel function. Computer Application and Software, 30--32.Google Scholar
- Meng Fan Bo, Cai Lianhong, Chen Bin, and Wu Peng. 2009. Research on the system of the evaluation of the text's tendency of commendatory bias. Small Microcomputer System, 1458--1462.Google Scholar
- Perikos, and Hatzilygeroudis. 2016. Recognizing emotions in text using ensemble of classifiers. Engineering Applications of Artificial Intelligence, 191--201. Google ScholarDigital Library
- Beasley, and Mason. 2015. Emotional states vs. emotional words in social media. In Proceedings of the ACM Web Science Conference, 31--32. Google ScholarDigital Library
- Grigori Sidorov, Sabino Miranda-Jiménez, Francisco Viveros-Jiménez, Alexander Gelbukh, Noé Castro-Sánchez, Francisco Velásquez, Ismael Díaz- Rangel, Sergio Suárez-Guerra, Alejandro Treviño, and Juan Gordon. 2012. Empirical Study of Opinion Mining in Spanish Tweets, 1--14.Google Scholar
- Ismael Díaz, Rangel, nd Grigori idorov. 014. Creación y evaluación de un diccionario marcado con emociones y ponderado para el español. Onomazein, 23--29.Google Scholar
Index Terms
- The Influence of Emotional Words on Character Building Based on Subjective Text
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