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Exploring Multi-lingual, Multi-task, and Adversarial Learning for Low-resource Sentiment Analysis

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/s12559-016-9415-7openalex-snapshot
Multilingual Sentiment Analysis: State of the Art and Independent Comparison of Techniques
inferredcites →https://doi.org/10.1007/s42979-021-00455-5openalex-snapshot
Exploring Multi-Task Multi-Lingual Learning of Transformer Models for Hate Speech and Offensive Speech Identification in Social Media
inferredcites →https://doi.org/10.1016/j.eswa.2015.02.007openalex-snapshot
Fine-grained analysis of explicit and implicit sentiment in financial news articles
inferredcites →https://doi.org/10.1016/j.eswa.2017.02.002openalex-snapshot
Enhancing deep learning sentiment analysis with ensemble techniques in social applications
inferredcites →https://doi.org/10.1016/j.eswa.2018.03.004openalex-snapshot
Senti-N-Gram: An n-gram lexicon for sentiment analysis
inferredcites →https://doi.org/10.1016/j.eswa.2018.04.006openalex-snapshot
A domain transferable lexicon set for Twitter sentiment analysis using a supervised machine learning approach
inferredcites →https://doi.org/10.1016/j.eswa.2019.112851openalex-snapshot
Borrow from rich cousin: transfer learning for emotion detection using cross lingual embedding
inferredcites →https://doi.org/10.1016/j.eswa.2020.113987openalex-snapshot
Multi-view ensemble learning method for microblog sentiment classification
inferredcites →https://doi.org/10.1016/j.inffus.2016.09.001openalex-snapshot
Domain-specific sentiment classification via fusing sentiment knowledge from multiple sources
inferredcites →https://doi.org/10.1016/j.inffus.2016.11.012openalex-snapshot
Ranking products through online reviews: A method based on sentiment analysis technique and intuitionistic fuzzy set theory
inferredcites →https://doi.org/10.1016/j.inffus.2017.02.003openalex-snapshot
A review of affective computing: From unimodal analysis to multimodal fusion
inferredcites →https://doi.org/10.1016/j.inffus.2017.12.006openalex-snapshot
Distinguishing between facts and opinions for sentiment analysis: Survey and challenges
inferredcites →https://doi.org/10.1016/j.inffus.2018.03.007openalex-snapshot
Consensus vote models for detecting and filtering neutrality in sentiment analysis
inferredcites →https://doi.org/10.1016/j.inffus.2018.11.001openalex-snapshot
Fusion of EEG response and sentiment analysis of products review to predict customer satisfaction
inferredcites →https://doi.org/10.1016/j.inffus.2020.03.003openalex-snapshot
Feature distillation network for aspect-based sentiment analysis
inferredcites →https://doi.org/10.1016/j.knosys.2017.03.020openalex-snapshot
Feature selection and ensemble construction: A two-step method for aspect based sentiment analysis
inferredcites →https://doi.org/10.1021/ci0342472openalex-snapshot
The Problem of Overfitting
inferredcites →https://doi.org/10.1109/mci.2019.2954667openalex-snapshot
How Intense Are You? Predicting Intensities of Emotions and Sentiments using Stacked Ensemble [Application Notes]
inferredcites →https://doi.org/10.1145/1651461.1651464openalex-snapshot
Topic-dependent sentiment analysis of financial blogs
inferredcites →https://doi.org/10.1145/3003433openalex-snapshot
Stance and Sentiment in Tweets
inferredcites →https://doi.org/10.1145/3357384.3357973openalex-snapshot
Sentiment Lexicon Enhanced Neural Sentiment Classification
inferredcites →https://doi.org/10.1145/3389035openalex-snapshot
Emoji-Based Sentiment Analysis Using Attention Networks
inferredcites →https://doi.org/10.1162/neco.1997.9.8.1735openalex-snapshot
Long Short-Term Memory
inferredcites →https://doi.org/10.1162/tacl_a_00039openalex-snapshot
Adversarial Deep Averaging Networks for Cross-Lingual Sentiment Classification
inferredcites →https://doi.org/10.1162/tacl_a_00051openalex-snapshot
Enriching Word Vectors with Subword Information
inferredcites →https://doi.org/10.18653/v1/d16-1024openalex-snapshot
Attention-based LSTM Network for Cross-Lingual Sentiment Classification
inferredcites →https://doi.org/10.18653/v1/d17-1057openalex-snapshot
A Multilayer Perceptron based Ensemble Technique for Fine-grained Financial Sentiment Analysis
inferredcites →https://doi.org/10.18653/v1/n18-1053openalex-snapshot
Solving Data Sparsity for Aspect Based Sentiment Analysis Using Cross-Linguality and Multi-Linguality
inferredcites →https://doi.org/10.18653/v1/p17-1001openalex-snapshot
Adversarial Multi-task Learning for Text Classification
inferredcites →https://doi.org/10.18653/v1/p18-1074openalex-snapshot
A Multi-lingual Multi-task Architecture for Low-resource Sequence Labeling
inferredcites →https://doi.org/10.18653/v1/p19-1516openalex-snapshot
A Unified Multi-task Adversarial Learning Framework for Pharmacovigilance Mining
inferredcites →https://doi.org/10.18653/v1/s15-2108openalex-snapshot
SeNTU: Sentiment Analysis of Tweets by Combining a Rule-based Classifier with Supervised Learning
inferredcites →https://doi.org/10.3115/1071884openalex-snapshot
Proceedings of the 19th international conference on Computational linguistics -
inferredcites →https://doi.org/10.3115/1118693.1118704openalex-snapshot
Thumbs up?
inferredcites →https://doi.org/10.3115/v1/d14-1162openalex-snapshot
Glove: Global Vectors for Word Representation
inferredcites →https://doi.org/10.48550/arxiv.1412.6980openalex-snapshot
Adam: A Method for Stochastic Optimization
inferredcites →https://doi.org/10.48550/arxiv.1806.04511openalex-snapshot
Multilingual Sentiment Analysis: An RNN-Based Framework for Limited Data

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-031-28244-7_43openalex-snapshot
Service Is Good, Very Good or Excellent? Towards Aspect Based Sentiment Intensity Analysis
inferred← citeshttps://doi.org/10.1007/978-3-031-54834-5_7openalex-snapshot
Multilinguality in Misinformation Detection
inferred← citeshttps://doi.org/10.1007/978-3-031-70906-7_3openalex-snapshot
An Ensemble Deep Learning Framework for Enhancing Sentiment Analysis
inferred← citeshttps://doi.org/10.1007/s10844-023-00808-xopenalex-snapshot
Transformer based multilingual joint learning framework for code-mixed and english sentiment analysis
inferred← citeshttps://doi.org/10.1007/s12559-023-10165-0openalex-snapshot
Multidimensional Affective Analysis for Low-Resource Languages: A Use Case with Guarani-Spanish Code-Switching Language
inferred← citeshttps://doi.org/10.1007/s13198-023-01861-zopenalex-snapshot
Multimodal, multiview and multitasking depression detection framework endorsed with auxiliary sentiment polarity and emotion detection
inferred← citeshttps://doi.org/10.1016/j.csl.2024.101668openalex-snapshot
Quality achhi hai (is good), satisfied! Towards aspect based sentiment analysis in code-mixed language
inferred← citeshttps://doi.org/10.1016/j.csl.2025.101870openalex-snapshot
A novel approach to cross-linguistic transfer learning for hope speech detection in Tamil and Malayalam
inferred← citeshttps://doi.org/10.1016/j.engappai.2025.113255openalex-snapshot
Bridging techniques and applications in sentiment analysis: Approaches, challenges, and emerging trends
inferred← citeshttps://doi.org/10.1016/j.inffus.2026.104189openalex-snapshot
Large multimodal models for low-resource languages: A survey
inferred← citeshttps://doi.org/10.1016/j.nlp.2024.100059openalex-snapshot
Recent advancements and challenges of NLP-based sentiment analysis: A state-of-the-art review
inferred← citeshttps://doi.org/10.1016/j.nlp.2025.100181openalex-snapshot
Sentiment analysis of Mizo using lexical features in low resource based models
inferred← citeshttps://doi.org/10.1109/access.2025.3567845openalex-snapshot
Toward Effective Comparative Opinion Mining: A Novel Vietnamese Product Review Corpus and Benchmark Approach
inferred← citeshttps://doi.org/10.1109/aide57180.2022.10060044openalex-snapshot
An N-gram-Based BERT model for Sentiment Classification Using Movie Reviews
inferred← citeshttps://doi.org/10.1109/dcoss-iot61029.2024.00015openalex-snapshot
Adversarial Training on Limited-Resource Devices Through Asymmetric Disturbances
inferred← citeshttps://doi.org/10.1109/iccit68739.2025.11491610openalex-snapshot
Impact of Translation on Sentiment Analysis of Bengali Rumor Texts: A Multi-Criteria Approach
inferred← citeshttps://doi.org/10.1109/icici62254.2024.00101openalex-snapshot
Multitask Sentiment Analysis Integrated Machine Learning Framework to Classify Informative Tweets From Multidomains
inferred← citeshttps://doi.org/10.1109/icuis64676.2024.10866492openalex-snapshot
Sentiment Analysis of Translated BBC Hindi News Articles Using Machine Learning: A Comparative Study of Classification Algorithms
inferred← citeshttps://doi.org/10.1109/iscbi69404.2026.11495699openalex-snapshot
Assessing the Trade-Off Between Hybrid BERT-CNN and Transformer Models for Low-Resource Language: Javanese
inferred← citeshttps://doi.org/10.1109/ispa-bdcloud-socialcom-sustaincom59178.2023.00178openalex-snapshot
Resource-Limited Localized Adaptive Adversarial Training for Machine Learning Model
inferred← citeshttps://doi.org/10.1109/tcss.2024.3430821openalex-snapshot
MultiSEAO-Mix: A Multimodal Multitask Framework for Sentiment, Emotion, Support, and Offensive Analysis in Code-Mixed Setting
inferred← citeshttps://doi.org/10.1142/s0218126625500409openalex-snapshot
Deep Learning-Based Human Action Recognition in Videos
inferred← citeshttps://doi.org/10.1145/3616391.3622768openalex-snapshot
Adversarial Training Method for Machine Learning Model in a Resource-Constrained Environment
inferred← citeshttps://doi.org/10.24271/psr.2024.440793.1484openalex-snapshot
Enhancing Low-Resource Sentiment Analysis: A Transfer Learning Approach
inferred← citeshttps://doi.org/10.31341/jios.48.2.9openalex-snapshot
A Semantic-Context Embedding Enhanced Attention Fusion BiLSTM
inferred← citeshttps://doi.org/10.3390/electronics14040802openalex-snapshot
End-to-End Speech Recognition with Deep Fusion: Leveraging External Language Models for Low-Resource Scenarios
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