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  • Search: subject:"Bidirectional LSTM"
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Subject
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Artificial intelligence 1 Bidirectional LSTM 1 Consumer behaviour 1 E-Learning 1 E-commerce 1 E-learning 1 Electronic Commerce 1 Forecasting model 1 Internet marketing 1 Konsumentenverhalten 1 Künstliche Intelligenz 1 LSTM 1 Learning process 1 Lernprozess 1 Long Short-Term Memory 1 Online retailing 1 Online-Handel 1 Online-Marketing 1 Physicians 1 Prognoseverfahren 1 Recurrent Neural Network 1 Sentiment Analysis 1 Social Web 1 Social web 1 Viral marketing 1 Virales Marketing 1 bidirectional LSTM 1 deep learning 1 hierarchical attention mechanism 1 online doctor rating prediction 1 online reviews 1 Ärzte 1
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Undetermined 2
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Article 2
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Article in journal 1 Aufsatz in Zeitschrift 1
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English 2
Author
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Ghosh, Soumadip 1 Krishnaswamy, Venkataraghavan 1 Kulshrestha, Anurag 1 Nag, Amitava 1 Pal, Subarno 1 Sharma, Mayank 1
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International Journal of Synthetic Emotions (IJSE) 1 Journal of forecasting 1
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ECONIS (ZBW) 1 Other ZBW resources 1
Showing 1 - 2 of 2
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A deep learning model for online doctor rating prediction
Kulshrestha, Anurag; Krishnaswamy, Venkataraghavan; … - In: Journal of forecasting 42 (2023) 5, pp. 1245-1260
Persistent link: https://www.econbiz.de/10014338867
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Sentiment Analysis in the Light of LSTM Recurrent Neural Networks
Pal, Subarno; Ghosh, Soumadip; Nag, Amitava - In: International Journal of Synthetic Emotions (IJSE) 9 (2018) 1, pp. 33-39
Long short-term memory (LSTM) is a special type of recurrent neural network (RNN) architecture that was designed over simple RNNs for modeling temporal sequences and their long-range dependencies more accurately. In this article, the authors work with different types of LSTM architectures for...
Persistent link: https://www.econbiz.de/10012047577
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