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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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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 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 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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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....
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Review on sentiment analysis for text classification techniques from 2010 to 2021
Progression in the popularity of social media activities had provided huge amount of data in the form of text that can immeasurably augment its...
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Multilingual Speech Sentiment Recognition Using Spiking Neural Networks
Speech sentiment and emotion recognition has grown significantly as a research field in recent years as it has potential uses in a variety of...
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HateDetector: Multilingual technique for the analysis and detection of online hate speech in social networks
With the proliferation of social media platforms that provide anonymity, easy access, and the establishment of online communities and discussion,...
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RETRACTED ARTICLE: Multilingual hate speech detection sentimental analysis on social media platforms using optimal feature extraction and hybrid diagonal gated recurrent neural network
Many activities are conducted on social media platforms, such as promoting products, sharing news and sharing achievements. As a result of users’...
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Sentiment analysis of Hindi language text: a critical review
Sentiment analysis involves extracting sentiments from various forms of text, including customer reviews, tweets, blogs, and news clips expressing...
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Investigating fairness in machine learning-based audio sentiment analysis
Audio sentiment analysis is a growing area of research, however little attention has been paid to the fairness of machine learning models in this...
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Multimodal sentiment analysis of english and hinglish memes
Memes now-a-days have become a popular form of internet communication that individuals use to express complex emotions and viewpoints in an engaging...
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A survey and comparative study on negative sentiment analysis in social media data
With the rapid growth of internet usage, especially on social media, forums, review platforms, and blogs, an enormous amount of data is being...
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Sentiment Analysis
Sentiment analysis is a process used in natural language processing (NLP) to analyze and extract information related to individual opinions and...
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KNetwork: advancing cross-lingual sentiment analysis for enhanced decision-making in linguistically diverse environments
Sentiment analysis is pivotal in facilitating informed decision-making for businesses, governments, and organizations by comprehending public...
