Twenty-four studies on twenty-three distinct languages and eleven social media illustrate the
steady interest in deep learning approaches for multilingual sentiment analysis of social …

Sentiment analysis automatically evaluates people's opinions of products or services. It is an
emerging research area with promising advancements in high-resource languages such as …

Abstract We introduce Kannada CodeMixed Dataset (KanCMD), a multi-task learning
dataset for sentiment analysis and offensive language identification. The KanCMD dataset …

This paper describes the development of a multilingual, manually annotated dataset for
three under-resourced Dravidian languages generated from social media comments. The …

Abstract Knowledge discovery from various perspectives has become a crucial asset in
almost all fields. Sentimental analysis is a classification task used to classify the sentence …

Emotion prediction is a critical task in the field of Natural Language Processing (NLP). There
has been a significant amount of work done in emotion prediction for resource-rich …

The modernized world with recent inventions in technology seen nowadays has become
more digitized. By making the products available online, e-commerce is taking advantage of …

The goal of opinion mining is to extract the sentiment, emotions, or judgement of reviews
and classified it. These reviews are very important because they can affect the decision …

Sentiment Analysis (SA) task for code-mixed Romanized text is an emerging area of
research in Natural Language Processing (NLP). Since informal expression of sentiments in …

Modern deep learning algorithms have achieved tremendous success in many visual
applications by training a model with all relevant task-specific data. In this module fake …