Sentiment Analysis with Various Deep Learning Models on Movie Reviews
Muhammet Sinan Başarslan, Fatih Kayaalp · 2022
Social 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%.