Sentiment Analysis Using Long Short-Term Memory Model in Deep Learning

Autor: Bindu Garg, Anushree Goud
Rok vydání: 2020
Předmět:
Zdroj: EAI/Springer Innovations in Communication and Computing ISBN: 9783030475598
DOI: 10.1007/978-3-030-47560-4_2
Popis: Sentiment recognition through deep learning technique is a challenge in artificial intelligence and affective computing as it involves the discovery of all associated emotions expressed in a specific manner. Recommended system involves a study of method based on user emotional state using deep learning technique. In addition with intrusion detection system on dataset used for text recognition, sentiment prediction can be done using modified version of recurrent neural network, i.e., long short-term memory neural network. We applied LSTM architecture to a RNN and trained the model using Amazon web service dataset in Microsoft Azure notebooks Jupyter. Through the performance test, we confirm that the deep learning approach, i.e., LSTM, is effective for sentiment recognition.
Databáze: OpenAIRE