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dc.contributor.authorSong, Qiu Xuanen_US
dc.description.abstractThis paper attempts to develop a model-based subreddit recommendation engine that includes the sentiment of the user interaction when providing recommendations. Sentiment was integrated into an LSTM-based collaborative filtering recommendation engine with the aid of Dirichlet probability distribution to better identify user preferences such that recommendation quality can be improve. A Recurrent Neural Network approach to sentiment analysis was explored and a GRU-based sentiment analyser was implemented to analyse the sentiment of user historical interactions.en_US
dc.publisherNanyang Technological Universityen_US
dc.subjectEngineering::Computer science and engineeringen_US
dc.titleReddit’s subreddit recommendation engine based on deep neural network & sentiment analysisen_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorLi Fangen_US
dc.contributor.schoolSchool of Computer Science and Engineeringen_US
dc.description.degreeBachelor of Engineering (Computer Science)en_US
dc.contributor.organizationAgency for Science, Technology and Researchen_US
dc.contributor.supervisor2Wang Zhaoxiaen_US;;en_US
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Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)
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