Optimization of College English Writing Teaching Strategies based on Sentiment Analysis

Abstract

The variety of comments has grown so quickly since emotions analysis became more popular. This study explores the optimization of college English writing teaching strategies through the application of sentiment analysis. By systematically collecting and analysis the students feedback, teachers comments and the performance data. However, it is hard to figure out how people feel from the huge number of comments. Sentiment analysis (SA) is a quick, easy, and automatic way to find out what users think and feel. This paper focus on the purpose of sentiment analysis, which compares different techniques, looks into the areas where sentiment analysis can be used, which highlights the problems and restrictions that students have faced, suggests ways to fix these problems. The study proposed Sentiment based Gradient Function Optimization (SGFO) algorithm for analyzing strategies of college English writing teaching strategies using sentiment analysis.  The results show that with the help of the proposed system, the participants made a significant progress in how they used emotion words. In particular, people who were proficient showed bigger gains with the SGFO algorithm. The participants were also positive about the tool support because it helps them use emotion words more effectively in their work. The study results stated that the proposed model has provided an accuracy of 98.7%.