Basarslan, M.S.Kayaalp, F.2024-08-232024-08-232022979-835039676-8https://doi.org/10.1109/ICAIoT57170.2022.10121745https://hdl.handle.net/20.500.12684/147262022 International Conference on Artificial Intelligence of Things, ICAIoT 2022 -- 29 December 2022 through 30 December 2022 -- Istanbul -- 188710Social media have led to the development of artificial intelligence tasks such as sentiment analysis to see whether people's posts have a positive or negative effect on other people. Ideas that affect society directly or indirectly about various domains, such as a movie or a meal, are very important for many business operations. This paper presents a sentiment analysis study which was carried out with 7 models based on various methods of deep learning algorithms on IMDB dataset. The best result was obtained with the model consisting of 2 Bi-LSTM and 2 dropout layers with 80%-20% train-test separation and an accuracy value of 88.21%. © 2022 IEEE.en10.1109/ICAIoT57170.2022.10121745info:eu-repo/semantics/closedAccessDeep LearningNeural NetworksSentiment AnalysisText RepresentationLearning algorithmsLearning systemsLong short-term memoryBusiness operationDeep learningLearning modelsModel-based OPCMovie reviewsNeural-networksSentiment analysisSocial mediaText representationSentiment analysisConference Object2-s2.0-85160547538N/A