Japanese Adverb Stylistic Feature Judgment Model Based on SVM Algorithm

Abstract

In this paper, a computer algorithm is used to classify the features of Japanese adverbs, and the professional degree and objective degree of adverbs are quantitatively analyzed, which can reveal their stylistic features more accurately. Traditional teaching evaluation methods are based on manual classifi cation, which has many shortcomings in accuracy and objectivity. In this paper, a support vector machine (SVM) -based model is proposed for the feature classifi cation research and evaluation of Japanese adverbs, which signifi cantly improves the proportion of adverbs and the professionalism, objectivity, accuracy and reliability of the text. Thus, we can accurately grasp the distribution and specific stylistic features of Japanese adverbs in Different texts. This paper proposes a model based on SVM algorithm to judge the stylistic features of Japanese adverbs, which provides an effective and innovative solution.