ABCDM: An Attention-based Bidirectional CNN-RNN Deep Model for sentiment analysis
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
ABCDM: An Attention-based Bidirectional CNN-RNN Deep Model for sentiment analysis
Authors
Keywords
Sentiment analysis, Deep learning, Convolutional neural network, Long short-term memory, Attention mechanism
Journal
Future Generation Computer Systems-The International Journal of eScience
Volume 115, Issue -, Pages 279-294
Publisher
Elsevier BV
Online
2020-09-03
DOI
10.1016/j.future.2020.08.005
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Energy choices in Alaska: Mining people's perception and attitudes from geotagged tweets
- (2020) Moloud Abdar et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- A novel method for sentiment classification of drug reviews using fusion of deep and machine learning techniques
- (2020) Mohammad Ehsan Basiri et al. KNOWLEDGE-BASED SYSTEMS
- Attention-based long short-term memory network using sentiment lexicon embedding for aspect-level sentiment analysis in Korean
- (2019) Minchae Song et al. INFORMATION PROCESSING & MANAGEMENT
- Bidirectional LSTM with attention mechanism and convolutional layer for text classification
- (2019) Gang Liu et al. NEUROCOMPUTING
- An ensemble method with sentiment features and clustering support
- (2019) Huy Tien Nguyen et al. NEUROCOMPUTING
- Recent trends in deep learning based personality detection
- (2019) Yash Mehta et al. ARTIFICIAL INTELLIGENCE REVIEW
- A domain transferable lexicon set for Twitter sentiment analysis using a supervised machine learning approach
- (2018) M. Ghiassi et al. EXPERT SYSTEMS WITH APPLICATIONS
- Recent Trends in Deep Learning Based Natural Language Processing [Review Article]
- (2018) Tom Young et al. IEEE Computational Intelligence Magazine
- Bayesian network based extreme learning machine for subjectivity detection
- (2018) Iti Chaturvedi et al. JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
- Towards Twitter sentiment classification by multi-level sentiment-enriched word embeddings
- (2018) Shufeng Xiong et al. NEUROCOMPUTING
- Semi-supervised learning for big social data analysis
- (2018) Amir Hussain et al. NEUROCOMPUTING
- Sentic LSTM: a Hybrid Network for Targeted Aspect-Based Sentiment Analysis
- (2018) Yukun Ma et al. Cognitive Computation
- Ensemble of machine learning algorithms using the stacked generalization approach to estimate the warfarin dose
- (2018) Zhiyuan Ma et al. PLoS One
- Intelligent Asset Allocation via Market Sentiment Views
- (2018) Frank Z. Xing et al. IEEE Computational Intelligence Magazine
- A tale of two epidemics: Contextual Word2Vec for classifying twitter streams during outbreaks
- (2018) Aparup Khatua et al. INFORMATION PROCESSING & MANAGEMENT
- Sentiment analysis based on improved pre-trained word embeddings
- (2018) Seyed Mahdi Rezaeinia et al. EXPERT SYSTEMS WITH APPLICATIONS
- A Neural Word Embeddings Approach for Multi-Domain Sentiment Analysis
- (2017) Mauro Dragoni et al. IEEE Transactions on Affective Computing
- Inferring Affective Meanings of Words from Word Embedding
- (2017) Minglei Li et al. IEEE Transactions on Affective Computing
- Learning User and Product Distributed Representations Using a Sequence Model for Sentiment Analysis
- (2016) Tao Chen et al. IEEE Computational Intelligence Magazine
- How to Generate a Good Word Embedding
- (2016) Siwei Lai et al. IEEE INTELLIGENT SYSTEMS
- Sentiment Embeddings with Applications to Sentiment Analysis
- (2016) Duyu Tang et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Learning word dependencies in text by means of a deep recurrent belief network
- (2016) Iti Chaturvedi et al. KNOWLEDGE-BASED SYSTEMS
- Guest Editorial: Big Social Data Analysis
- (2014) Erik Cambria et al. KNOWLEDGE-BASED SYSTEMS
- Word Polarity Disambiguation Using Bayesian Model and Opinion-Level Features
- (2014) Yunqing Xia et al. Cognitive Computation
- Feature selection for sentiment analysis based on content and syntax models
- (2012) Adnan Duric et al. DECISION SUPPORT SYSTEMS
- Document-level sentiment classification: An empirical comparison between SVM and ANN
- (2012) Rodrigo Moraes et al. EXPERT SYSTEMS WITH APPLICATIONS
- Selecting Attributes for Sentiment Classification Using Feature Relation Networks
- (2010) Ahmed Abbasi et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started