Attention-Based CNN and Bi-LSTM Model Based on TF-IDF and GloVe Word Embedding for Sentiment Analysis

Attention-Based CNN and Bi-LSTM Model Based on TF-IDF and GloVe Word Embedding for Sentiment Analysis

Sentiment analysis (SA) detects people’s opinions from text engaging natural language processing (NLP) techniques. Recent research has shown that deep learning models, i.e., Convolutional Neural Network (CNN), Recurrent Neural Network (RNN), and Transformer-based provide promising results for recogn...

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Bibliographic Details
Main Authors: Marjan Kamyab, Guohua Liu, Michael Adjeisah
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Applied Sciences
Subjects:
deep learning
CNN
Bi-LSTM
attention mechanism
social media sentiment analysis
TF-IDF
Online Access:https://www.mdpi.com/2076-3417/11/23/11255

Internet

https://www.mdpi.com/2076-3417/11/23/11255

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