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The enhanced model incorporates domain knowledge (i.e., seed words) to produce more focused topics and has the ability to handle two aspects in at the sentence level simultaneously. The experiment results show that the Enhanced Twofold-LDA model is able to produce topics more related to aspects in comparison to the state of arts method ASUM (Aspect and Sentiment Unification Model), whereas comparable with ASUM on sentiment classification performance.<\/p>","DOI":"10.4018\/ijkbo.2019100101","type":"journal-article","created":{"date-parts":[[2019,9,13]],"date-time":"2019-09-13T14:19:46Z","timestamp":1568384386000},"page":"1-20","source":"Crossref","is-referenced-by-count":7,"title":["Enhanced Twofold-LDA Model for Aspect Discovery and Sentiment Classification"],"prefix":"10.4018","volume":"9","author":[{"given":"Nicola","family":"Burns","sequence":"first","affiliation":[{"name":"Genesys, Frimley, UK"}]},{"given":"Yaxin","family":"Bi","sequence":"additional","affiliation":[{"name":"Ulster University, Antrim, UK"}]},{"given":"Hui","family":"Wang","sequence":"additional","affiliation":[{"name":"Ulster University, Antrim, UK"}]},{"given":"Terry","family":"Anderson","sequence":"additional","affiliation":[{"name":"Ulster University, Antrim, UK"}]}],"member":"2432","reference":[{"key":"IJKBO.2019100101-0","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2016.06.021"},{"key":"IJKBO.2019100101-1","doi-asserted-by":"publisher","DOI":"10.3115\/1621829.1621835"},{"key":"IJKBO.2019100101-2","first-page":"993","article-title":"Latent Dirichlet allocation.","volume":"3","author":"D. 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