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However, most of these approaches do not achieve admirable accuracy in Topic Sentiment Analysis (TSA), particularly when there is insufficient training data or the texts are complex, ambiguous, and short. In this paper, a self-supervised novel approach called SSTSA is proposed for TSA that extracts the hidden topics and analyzes the total sentiment related to each topic. The SSTSA proposes a new method called Pseudo-label Generator. For this purpose, first, it employs semantic similarity and Word Mover\u2019s Distance (WMD) measures. Then, the document embedding technique is employed to semantically estimate the sentiment orientation of samples and generate the pseudo-labels (positive or negative). Afterward, a hybrid classifier composed of a pre-trained Robustly Optimized BERT (RoBERTa) and a Long Short-Term Memory (LSTM) model is trained to predict the sentiment of unseen data. The evaluation results on different datasets of various domains demonstrate that the SSTSA outperforms similar unsupervised\/self-supervised methods. <\/jats:p>","DOI":"10.1142\/s0219622023500736","type":"journal-article","created":{"date-parts":[[2023,6,30]],"date-time":"2023-06-30T07:08:50Z","timestamp":1688108930000},"page":"2269-2307","source":"Crossref","is-referenced-by-count":5,"title":["SSTSA: A Self-Supervised Topic Sentiment Analysis Using Semantic Similarity Measures and Transformers"],"prefix":"10.1142","volume":"23","author":[{"given":"Azam","family":"Seilsepour","sequence":"first","affiliation":[{"name":"Department of Computer Engineering, Central Tehran Branch, Islamic Azad University, Tehran, Iran"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9605-5839","authenticated-orcid":false,"given":"Reza","family":"Ravanmehr","sequence":"additional","affiliation":[{"name":"Department of Computer Engineering, Central Tehran Branch, Islamic Azad University, Tehran, Iran"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ramin","family":"Nassiri","sequence":"additional","affiliation":[{"name":"Department of Computer Engineering, Central Tehran Branch, Islamic Azad University, Tehran, Iran"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2023,8,2]]},"reference":[{"key":"S0219622023500736BIB001","doi-asserted-by":"publisher","DOI":"10.1142\/S0219622019500305"},{"key":"S0219622023500736BIB002","doi-asserted-by":"publisher","DOI":"10.1142\/S0219622022500626"},{"key":"S0219622023500736BIB003","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2022.03.040"},{"issue":"3","key":"S0219622023500736BIB004","first-page":"143","volume":"5","author":"Seilsepour A.","year":"2019","journal-title":"Journal of Advances in Computer Engineering and Technology"},{"key":"S0219622023500736BIB005","doi-asserted-by":"publisher","DOI":"10.1142\/S0219622018500128"},{"key":"S0219622023500736BIB006","first-page":"e3817","author":"Xie W.","year":"2019","journal-title":"Transactions on Emerging Telecommunications Technologies"},{"key":"S0219622023500736BIB007","doi-asserted-by":"publisher","DOI":"10.1109\/ICSPIS56952.2022.10043914"},{"key":"S0219622023500736BIB009","doi-asserted-by":"publisher","DOI":"10.1145\/3396956.3396973"},{"key":"S0219622023500736BIB010","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2020.3001216"},{"key":"S0219622023500736BIB011","doi-asserted-by":"publisher","DOI":"10.3390\/info12020078"},{"key":"S0219622023500736BIB012","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2021.107440"},{"key":"S0219622023500736BIB013","doi-asserted-by":"publisher","DOI":"10.4018\/JOEUC.294901"},{"key":"S0219622023500736BIB014","doi-asserted-by":"publisher","DOI":"10.1145\/3442442.3458612"},{"key":"S0219622023500736BIB015","doi-asserted-by":"publisher","DOI":"10.4018\/IJISSS.295872"},{"key":"S0219622023500736BIB016","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2018.02.012"},{"key":"S0219622023500736BIB017","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-021-02817-1"},{"issue":"1","key":"S0219622023500736BIB018","first-page":"1","volume":"65","author":"Liang Q.","year":"2022","journal-title":"Technometrics"},{"key":"S0219622023500736BIB019","doi-asserted-by":"publisher","DOI":"10.1007\/s11280-017-0474-9"},{"key":"S0219622023500736BIB020","doi-asserted-by":"publisher","DOI":"10.1155\/2022\/7612276"},{"key":"S0219622023500736BIB021","doi-asserted-by":"publisher","DOI":"10.1111\/exsy.12527"},{"key":"S0219622023500736BIB022","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2020.114231"},{"key":"S0219622023500736BIB023","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2019.102084"},{"key":"S0219622023500736BIB024","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2018.07.005"},{"key":"S0219622023500736BIB025","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2022.07.126"},{"key":"S0219622023500736BIB026","first-page":"993","volume":"3","author":"Blei D. 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