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The first stage trains SimBERT using online review data so that SimBERT can fully learn the semantic features of online reviews. The second stage uses the trained SimBERT model to generate fake minority samples and mix them with the original samples to obtain a distributed balanced dataset. Then the mixed data set is input into the deep learning model to complete the sentiment classification task. Experimental results show that this method has excellent classification performance in the sentiment classification task of hotel online reviews compared with traditional deep learning models and models based on other imbalanced processing methods.<\/jats:p>","DOI":"10.3233\/jifs-230278","type":"journal-article","created":{"date-parts":[[2023,8,22]],"date-time":"2023-08-22T10:08:07Z","timestamp":1692698887000},"page":"8015-8025","source":"Crossref","is-referenced-by-count":3,"title":["Imbalanced sentiment classification of online reviews based on SimBERT"],"prefix":"10.1177","volume":"45","author":[{"given":"Wei","family":"Zhenlin","sequence":"first","affiliation":[{"name":"School of Traffic and Transportation, Beijing Jiaotong University, Beijing, China"}]},{"given":"Wang","family":"Chuantao","sequence":"additional","affiliation":[{"name":"School of Mechanical-Electronic and Vehicle Engineering, Beijing University of Civil Engineering and Architecture, Beijing, China"},{"name":"Beijing Engineering Research Center of Monitoring for Construction Safety, Beijing, China"}]},{"given":"Yang","family":"Xuexin","sequence":"additional","affiliation":[{"name":"School of Mechanical-Electronic and Vehicle Engineering, Beijing University of Civil Engineering and Architecture, Beijing, China"}]},{"given":"Zhao","family":"Wei","sequence":"additional","affiliation":[{"name":"School of Mechanical-Electronic and Vehicle Engineering, Beijing University of Civil Engineering and Architecture, Beijing, China"}]}],"member":"179","reference":[{"issue":"2","key":"10.3233\/JIFS-230278_ref1","doi-asserted-by":"crossref","first-page":"102","DOI":"10.1109\/MIS.2016.31","article-title":"Affective Computing and Sentiment Analysis","volume":"31","author":"Cambria","year":"2016","journal-title":"IEEE Intelligent Systems"},{"key":"10.3233\/JIFS-230278_ref2","first-page":"79","article-title":"Thumbs up? 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