Sentiment Analysis with Various Deep Learning Models on Movie Reviews
Küçük Resim Yok
Tarih
2022
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Institute of Electrical and Electronics Engineers Inc.
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
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%. © 2022 IEEE.
Açıklama
2022 International Conference on Artificial Intelligence of Things, ICAIoT 2022 -- 29 December 2022 through 30 December 2022 -- Istanbul -- 188710
Anahtar Kelimeler
Deep Learning, Neural Networks, Sentiment Analysis, Text Representation, Learning algorithms, Learning systems, Long short-term memory, Business operation, Deep learning, Learning models, Model-based OPC, Movie reviews, Neural-networks, Sentiment analysis, Social media, Text representation, Sentiment analysis
Kaynak
Proceedings - 2022 International Conference on Artificial Intelligence of Things, ICAIoT 2022
WoS Q Değeri
Scopus Q Değeri
N/A
