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Multilingual text categorization and sentiment analysis: a comparative analysis of the utilization of multilingual approaches for classifying twitter data
Text categorization and sentiment analysis are two of the most typical natural language processing tasks with various emerging applications...
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Multilingual, monolingual and mono-dialectal transfer learning for Moroccan Arabic sentiment classification
Transfer learning has recently proven to be very powerful in diverse natural language processing (NLP) tasks such as Machine translation, Sentiment...
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Transformer based multilingual joint learning framework for code-mixed and english sentiment analysis
In recent times, there has been tremendous growth in the number of multi-lingual users on social media platforms. Consequently, the code-mixing...
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Augmenting sentiment prediction capabilities for code-mixed tweets with multilingual transformers
People in the modern digital era are increasingly embracing social media platforms to express their concerns and emotions in the form of reviews or...
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Graph Convolutional Network for Multilingual Sentiment Analysis
Sentiment Analysis, known also as opinion mining, discover and extract subjective information from source data allowing businesses to better...
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SentiCode: A new paradigm for one-time training and global prediction in multilingual sentiment analysis
The main objective of multilingual sentiment analysis is to analyze reviews regardless of the original language in which they are written. Switching...
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Sentiment Analysis on Multilingual Data: Hinglish
In this study, sentiment analysis was done on a collection of bilingual Hindi and English tweets. Before performing sentiment analysis, we first...
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Multi-class sentiment analysis of urdu text using multilingual BERT
Sentiment analysis (SA) is an important task because of its vital role in analyzing people’s opinions. However, existing research is solely based on...
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SlideGCN: Slightly Deep Graph Convolutional Network for Multilingual Sentiment Analysis
Multilingual sentiment analysis refers to the process of sentiment scoring while gathering insights from data in different languages. Many research...
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Deep learning based sentiment analysis and offensive language identification on multilingual code-mixed data
Sentiment analysis is a process in Natural Language Processing that involves detecting and classifying emotions in texts. The emotion is focused on a...
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Combining sentiment analysis classifiers to explore multilingual news articles covering London 2012 and Rio 2016 Olympics
This study aims to present an approach for the challenges of working with Sentiment Analysis (SA) applied to news articles in a multilingual corpus....
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Sentiment analysis of tweets using text and graph multi-views learning
With the surge of deep learning framework, various studies have attempted to address the challenges of sentiment analysis of tweets (data sparsity,...
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Robustness of Sentiment Analysis of Multilingual Twitter Postings
Due to increasing digitalisation and access to content published online, the amount of data continues to grow. Opinions, experiences and thoughts are...
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A multimodal approach to cross-lingual sentiment analysis with ensemble of transformer and LLM
Sentiment analysis is an essential task in natural language processing that involves identifying a text’s polarity, whether it expresses positive,...
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Which words are important?: an empirical study of Assamese sentiment analysis
Sentiment analysis is an important research domain in text analytics and natural language processing. Since the last few decades, it has become a...
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Sentiment analysis in Portuguese tweets: an evaluation of diverse word representation models
During the past years, we have seen a steady increase in the number of social networks worldwide. Among them, Twitter has consolidated its position...
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A review of sentiment analysis: tasks, applications, and deep learning techniques
Sentiment analysis, a transformative force in natural language processing, revolutionizes diverse fields such as business, social media, healthcare,...
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Twitter Sentiment Geographical Index Dataset
Promoting well-being is one of the key targets of the Sustainable Development Goals at the United Nations. Many national and city governments...
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An ensemble transformer-based model for Arabic sentiment analysis
Sentiment analysis is a common and challenging task in natural language processing (NLP). It is a widely studied area of research; it facilitates...
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A hybrid convolutional neural network for sarcasm detection from multilingual social media posts
Sarcasm in social media postings significantly impacts automated sentiment extraction due to its potential to invert the overall polarity of phrases....
