计算机科学
词汇分析
情绪分析
空白
人工智能
词(群论)
数据挖掘
自然语言处理
机器学习
数学
工程类
几何学
机械工程
作者
Fatima-ezzahra Lagrari,Youssfi ElKettani
出处
期刊:Advances in intelligent systems and computing
日期:2023-01-01
卷期号:: 315-322
标识
DOI:10.1007/978-981-19-5443-6_23
摘要
AbstractThis paper presents a new customized Bert method based sentiment analysis classification. The blank space removal method, stop word removal, and stemming methods were used in the data pre-processing step. Then tokens are extracted in tokenization step. Standard lion algorithm is used to optimize the weight and bias of the proposed Bert algorithm. Many comparisons were done in order to analyze the performance of the new proposed Bert model. Results obtained showed that the proposed model outperforms other classical models in term of accuracy and performance other metrics.KeywordsBertTwitter sentiment analysisDeep learningLion algorithmOptimization
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