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A Regression Prediction Algorithm for the Popularity of English Forum Posts Based on Support Vector Machine

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DOI: 10.23977/icamcs2019.67

Author(s)

Tian Li

Corresponding Author

Tian Li

ABSTRACT

Predicting the popularity of English forum posts has become a key research direction of public opinion monitoring. This paper proposes a new regression prediction algorithm for the popularity of English forum posts. In the process of data processing, firstly, the influencing factors of posts are quantified to study the prediction of the development of public opinion popularity. In this paper, the first thing to do is to study the distribution characteristics of the popularity of English forum posts; then quantify the factors that affect the popularity of posts, and use the regression based vector machine to generate the development trend of public opinion; finally, the prediction method of this paper is tested, and the test results show that the prediction algorithm proposed in this paper has good accuracy Accuracy.

KEYWORDS

Support Vector Machine, Post Keywords, Post Popularity, Influencing Factors

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