A Novel Deep Learning Language Model with Hybrid-GFX Embedding and Hyperband Search for Opinion Analysis

No abstract is available for this paper.

• Publication year

  2023

• Venue

  SN Computer Science

• Publication date

  2023-09-29

• Fields of study

  Linguistics, Computer Science

• Identifiers
  DOI 10.1007/s42979-023-02236-8
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• A Survey on Word Meta-Embedding Learning

  2022cited by this paper
• A novel ensemble approach based on MCC and MCDM methods for prioritizing tweets mentioning urban issues in smart city

  2022cited by this paper
• MBiLSTMGloVe: Embedding GloVe knowledge into the corpus using multi-layer BiLSTM deep learning model for social media sentiment analysis

  2022cited by this paper
• Evaluating the Effectiveness of Text Pre-Processing in Sentiment Analysis

  2022cited by this paper
• Audio-Visual Stress Classification Using Cascaded RNN-LSTM Networks

  2022cited by this paper
• Combining Context-Free and Contextualized Representations for Arabic Sarcasm Detection and Sentiment Identification

  2021cited by this paper
• University of Birmingham Enhancing contextualised language models with static character and word embeddings for emotional intensity and sentiment strength detection in Arabic tweets

  2021cited by this paper
• Sentiment Classification Using fastText Embedding and Deep Learning Model

  2021cited by this paper
• Improving Sentiment Classification of Restaurant Reviews with Attention-Based Bi-GRU Neural Network

  2021cited by this paper
• Obtaining Better Static Word Embeddings Using Contextual Embedding Models

  2021cited by this paper
• Review of Learning-Based Techniques of Sentiment Analysis for Security Purposes

  2021cited by this paper
• A novel LSTM–CNN–grid search-based deep neural network for sentiment analysis

  2021cited by this paper
• Contextual sentiment embeddings via bi-directional GRU language model

  2021cited by this paper
• ABCDM: An Attention-based Bidirectional CNN-RNN Deep Model for sentiment analysis

  2021cited by this paper
• House Price Forecasting Using Machine Learning

  2020cited by this paper
• Analysis and Comparison of Deep Learning Networks for Supporting Sentiment Mining in Text Corpora

  2020cited by this paper
• An Effective BERT-Based Pipeline for Twitter Sentiment Analysis: A Case Study in Italian

  2020cited by this paper
• Examining the potential of textual big data analytics for public policy decision-making: A case study with driverless cars in Denmark

  2020cited by this paper
• On Validity of Sentiment Analysis Scores and Development of Classification Model for Student-Lecturer Comments Using Weight-based Approach and Deep Learning

  2020cited by this paper
• Social media in aid of post disaster management

  2020cited by this paper
• Sentiment Classification Using a Single-Layered BiLSTM Model

  2020cited by this paper
• A Novel Hybrid Deep Learning Model for Sentiment Classification

  2020cited by this paper
• Subword Attentive Model for Arabic Sentiment Analysis

  2020cited by this paper
• SemEval-2019 Task 5: Multilingual Detection of Hate Speech Against Immigrants and Women in Twitter

  2019cited by this paper
• A Hybrid CNN-LSTM Model for Improving Accuracy of Movie Reviews Sentiment Analysis

  2019cited by this paper
• Deep Learning for Automated Sentiment Analysis of Social Media

  2019cited by this paper
• Understanding Emotions in Text Using Deep Learning and Big Data

  2019cited by this paper
• Sentiment analysis of commodity reviews based on multilayer LSTM network

  2019cited by this paper
• Survey of Sentiment Analysis Using Deep Learning Techniques

  2019cited by this paper
• Managing Marketing Decision-Making with Sentiment Analysis: An Evaluation of the Main Product Features Using Text Data Mining

  2019cited by this paper
• Sentiment analysis for online reviews using conditional random fields and support vector machines

  2019cited by this paper
• Transformer-XL: Attentive Language Models beyond a Fixed-Length Context

  2019influential reference
• MCP-LSTM Network for Sentence-level Sentiment Classification

  2019cited by this paper
• Sentiment Analysis of Network Comments Based on GCNN

  2018cited by this paper
• UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

  2018cited by this paper
• Convolutional Recurrent Deep Learning Model for Sentence Classification

  2018cited by this paper
• Deep learning for sentiment analysis: A survey

  2018cited by this paper
• A sentiment analysis-based machine learning approach for financial market prediction via news disclosures

  2018cited by this paper
• Proceedings of the Genetic and Evolutionary Computation Conference Companion

  2018cited by this paper
• Big data analytics for disaster response and recovery through sentiment analysis

  2018influential reference
• A deep learning architecture for sentiment analysis

  2018cited by this paper
• UMAP: Uniform Manifold Approximation and Projection

  2018cited by this paper
• Aspect Extraction from Customer Reviews Using Convolutional Neural Networks

  2018cited by this paper
• Semi-supervised learning for early detection and diagnosis of various air handling unit faults

  2018cited by this paper
• 2018 18th International Conference on Advances in ICT for Emerging Regions (ICTer)

  2018cited by this paper
• Approaches to Cross-Domain Sentiment Analysis: A Systematic Literature Review

  2017cited by this paper
• Hyperparameter Optimization

  2017cited by this paper
• Attention is All you Need

  2017cited by this paper
• SENTIMENT ANALYSIS METHODS AND APPROACHES: A SURVEY

  2017cited by this paper
• A cost-sensitive rotation forest algorithm for gene expression data classification

  2017cited by this paper
• From pixels to sentiment: Fine-tuning CNNs for visual sentiment prediction

  2016cited by this paper
• “Why Should I Trust You?”: Explaining the Predictions of Any Classifier

  2016cited by this paper
• Fusing Similarity Models with Markov Chains for Sparse Sequential Recommendation

  2016cited by this paper
• Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization

  2016cited by this paper
• Context-Sensitive Lexicon Features for Neural Sentiment Analysis

  2016cited by this paper
• Enriching Word Vectors with Subword Information

  2016cited by this paper
• Word Embedding Evaluation and Combination

  2016cited by this paper
• Deep Learning

  2016influential reference
• End-To-End Memory Networks

  2015cited by this paper
• Deep Belief Neural Networks and Bidirectional Long-Short Term Memory Hybrid for Speech Recognition

  2015cited by this paper
• A Primer on Neural Network Models for Natural Language Processing

  2015cited by this paper
• Dropout: a simple way to prevent neural networks from overfitting

  2014cited by this paper
• Convolutional Neural Networks for Sentence Classification

  2014cited by this paper
• GloVe: Global Vectors for Word Representation

  2014cited by this paper
• Deep learning in neural networks: An overview

  2014cited by this paper
• Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)

  2014influential reference
• Sentiment analysis in twitter using machine learning techniques

  2013cited by this paper
• 2013 Fourth International Conference on Computing, Communications and Networking Technologies (ICCCNT)

  2013cited by this paper
• Using Machine Learning to Detect Cyberbullying

  2011cited by this paper
• The Bag-of-Opinions Method for Review Rating Prediction from Sparse Text Patterns

  2010cited by this paper
• Linear and logistic regression analysis.

  2008cited by this paper
• A Sentimental Education: Sentiment Analysis Using Subjectivity Summarization Based on Minimum Cuts

  2004cited by this paper
• Singular value decomposition and principal component analysis

  2003cited by this paper
• Neural Networks: Tricks of the Trade

  2002cited by this paper
• Support Vector Machines: A Practical Consequence of Learning Theory

  1998cited by this paper
• Long Short-Term Memory

  1997influential reference

• Sentiment analysis applications using deep learning advancements in social networks: A systematic review

  2025cites this paper