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Multilingual Translation and Prediction of Risk and Opportunity for Industrial Application Using Sentiment Analysis
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/s11042-018-5748-4openalex-snapshot
A novel approach to generate a large scale of supervised data for short text sentiment analysis
inferredcites →https://doi.org/10.1007/s12652-018-1095-6openalex-snapshot
Text sentiment analysis based on CBOW model and deep learning in big data environment
inferredcites →https://doi.org/10.1007/s13042-022-01553-3openalex-snapshot
Data augmentation in natural language processing: a novel text generation approach for long and short text classifiers
inferredcites →https://doi.org/10.1007/s13369-021-06227-wopenalex-snapshot
Improving Sentiment Analysis for Social Media Applications Using an Ensemble Deep Learning Language Model
inferredcites →https://doi.org/10.1016/j.knosys.2020.105918openalex-snapshot
Document-level multi-topic sentiment classification of Email data with BiLSTM and data augmentation
inferredcites →https://doi.org/10.1088/1361-6501/ad9495openalex-snapshot
A novel end-to-end anomaly detection framework for spacecraft using MINE and LSTM-VAE with attention mechanism
inferredcites →https://doi.org/10.1109/access.2020.2976196openalex-snapshot
The OL-DAWE Model: Tweet Polarity Sentiment Analysis With Data Augmentation
inferredcites →https://doi.org/10.1109/access.2020.3018151openalex-snapshot
Variations in Variational Autoencoders - A Comparative Evaluation
inferredcites →https://doi.org/10.1109/access.2020.3030468openalex-snapshot
Fine-Tuning BERT for Multi-Label Sentiment Analysis in Unbalanced Code-Switching Text
inferredcites →https://doi.org/10.1109/access.2021.3094023openalex-snapshot
Data Augmentation for Sentiment Analysis Using Sentence Compression-Based SeqGAN With Data Screening
inferredcites →https://doi.org/10.1109/access.2022.3152828openalex-snapshot
RoBERTa-LSTM: A Hybrid Model for Sentiment Analysis With Transformer and Recurrent Neural Network
inferredcites →https://doi.org/10.1109/access.2022.3210182openalex-snapshot
Sentiment Analysis With Ensemble Hybrid Deep Learning Model
inferredcites →https://doi.org/10.1109/access.2022.3222233openalex-snapshot
Automatic Sentiment Annotation of Idiomatic Expressions for Sentiment Analysis Task
inferredcites →https://doi.org/10.1109/access.2023.3234019openalex-snapshot
LiDA: Language-Independent Data Augmentation for Text Classification
inferredcites →https://doi.org/10.1109/access.2024.3365742openalex-snapshot
A Review on Large Language Models: Architectures, Applications, Taxonomies, Open Issues and Challenges
inferredcites →https://doi.org/10.1109/iccakm58659.2023.10449540openalex-snapshot
Twitter Sentiment Analysis and Emotion Detection Using NLTK and TextBlob
inferredcites →https://doi.org/10.1109/taffc.2022.3172360openalex-snapshot
Hybrid Contrastive Learning of Tri-Modal Representation for Multimodal Sentiment Analysis
inferredcites →https://doi.org/10.1109/tvcg.2015.2467191openalex-snapshot
Voyager: Exploratory Analysis via Faceted Browsing of Visualization Recommendations
inferredcites →https://doi.org/10.1145/3727339openalex-snapshot
A Primer on Pretrained Multilingual Language Models
inferredcites →https://doi.org/10.18653/v1/2020.acl-main.747openalex-snapshot
Unsupervised Cross-lingual Representation Learning at Scale
inferredcites →https://doi.org/10.18653/v1/2022.emnlp-main.101openalex-snapshot
A Multilingual Perspective Towards the Evaluation of Attribution Methods in Natural Language Inference
inferredcites →https://doi.org/10.3390/app13063915openalex-snapshot
RoBERTa-GRU: A Hybrid Deep Learning Model for Enhanced Sentiment Analysis
inferredcites →https://doi.org/10.3390/asi5010013openalex-snapshot
A Novel Machine Learning Approach for Sentiment Analysis on Twitter Incorporating the Universal Language Model Fine-Tuning and SVM
inferredcites →https://doi.org/10.4230/lipics.cosit.2022.18openalex-snapshot
AI-Assisted Pipeline for Dynamic Generation of Trustworthy Health Supplement Content at Scale
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