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A comprehensive survey on sentiment analysis: Approaches, challenges and trends
Sentiment analysis (SA), also called Opinion Mining (OM) is the task of extracting and
analyzing people's opinions, sentiments, attitudes, perceptions, etc., toward different entities …
analyzing people's opinions, sentiments, attitudes, perceptions, etc., toward different entities …
Machine learning and deep learning for sentiment analysis across languages: A survey
The inception and rapid growth of the Web, social media, and other online forums have
resulted in the continuous and rapid generation of opinionated textual data. Several real …
resulted in the continuous and rapid generation of opinionated textual data. Several real …
A survey of cross-lingual sentiment analysis: Methodologies, models and evaluations
Cross-lingual sentiment analysis (CLSA) leverages one or several source languages to help
the low-resource languages to perform sentiment analysis. Therefore, the problem of lack of …
the low-resource languages to perform sentiment analysis. Therefore, the problem of lack of …
Zero-shot text classification with self-training
Three-way enhanced convolutional neural networks for sentence-level sentiment classification
Y Zhang, Z Zhang, D Miao, J Wang - Information Sciences, 2019 - Elsevier
Deep neural network models have achieved remarkable results in sentiment classification.
Traditional feature-based methods perform slightly worse than deep learning methods in …
Traditional feature-based methods perform slightly worse than deep learning methods in …
Adversarial learning with contextual embeddings for zero-resource cross-lingual classification and NER
Contextual word embeddings (eg GPT, BERT, ELMo, etc.) have demonstrated state-of-the-
art performance on various NLP tasks. Recent work with the multilingual version of BERT …
art performance on various NLP tasks. Recent work with the multilingual version of BERT …
BERT syntactic transfer: A computational experiment on Italian, French and English languages
This paper investigates the ability of multilingual BERT (mBERT) language model to transfer
syntactic knowledge cross-lingually, verifying if and to which extent syntactic dependency …
syntactic knowledge cross-lingually, verifying if and to which extent syntactic dependency …
[HTML][HTML] A cost-sensitive three-way combination technique for ensemble learning in sentiment classification
Y Zhang, D Miao, J Wang, Z Zhang - International Journal of Approximate …, 2019 - Elsevier
Deep neural networks (DNN) have achieved remarkable results in sentiment classification.
Some ensemble methods of DNN models and traditional feature-based models are …
Some ensemble methods of DNN models and traditional feature-based models are …