In order to more specifically express the emotional meaning and tendency of social new words, this study proposes a new word sentiment orientation analysis method based on word vector. In the everchanging development of the information age, due to the continuous development of language application scenarios and the enrichment of extended semantic expressions, many new words expressing emotions appear on the Internet, while the expression of these new words has rich meaning but lacks accurate definition. Therefore, it is difficult to analyze its sentiment orientation. Based on the analysis of the new word discovery method and the word vector training tool Word2Vec, this study focuses on the feasibility and architecture design of the new word orientation analysis method based on Word2Vec, and conducts experiments for microblog corpus. The results show that new words can analyze their emotional tendencies from similar words.