Data Fusion Oriented Affective Semantic Matching Method for English Text Translation

Abstract

Aiming at the problem that the traditional English text translation emotional semantic matching results are not accurate, a data fusion oriented emotional semantic matching method for English text translation is proposed. Combined with the principle of data fusion, this paper identifies the emotional features of English text translation, optimizes the emotional semantic matching algorithm and evaluation indicators of English text translation, and simplifies the processing steps of emotional semantic matching of English text translation. Finally, the experimental results show that the emotional semantic matching method of English Text Translation oriented to data fusion has high accuracy in the practical application process, and fully meets the research requirements.