An Analysis of the Emotional Tendency of New Words in Chinese Text Based on Word2Vec


Jiang Quan and Rao Wenbi, Wuhan University of Technology, China


At present, there are many new words expressing emotions on the Internet, but the expressions of these new words have rich meanings but lack of accurate definitions, so it is difficult to analyze their emotional tendentiousness, This thesis studies the feasibility and framework design of word2vec based analysis method of emotional neologisms' tendency, and conducts experiments on Weibo corpus. The results show that new words can analyze their emotional tendency from their similar words.


Word vector, New word discovery, Emotional word, Tendentiousness analysis, Word2Vec

Full Text  Volume 10, Number 4