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Found 7 papers, 2 papers with code
Hate-Speech and Offensive Language Detection in Roman Urdu
The task of automatic hate-speech and offensive language detection in social media content is of utmost importance due to its implications in unprejudiced society concerning race, gender, or religion.
Adapting Deep Learning for Sentiment Classification of Code-Switched Informal Short Text
Such informal and code-switched content are under-resourced in terms of labeled datasets and language models even for popular tasks like sentiment classification.
Predicting Attributes of Nodes Using Network Structure
Predicting node attributes in such graphs is an important problem with applications in many domains like recommendation systems, privacy preservation, and targeted advertisement.
Language Independent Sentiment Analysis
These methods, however apply to texts written in a specific language.
A Multi-cascaded Model with Data Augmentation for Enhanced Paraphrase Detection in Short Texts
In this work, we present a data augmentation strategy and a multi-cascaded model for improved paraphrase detection in short texts.
Patch-based Generative Adversarial Network Towards Retinal Vessel Segmentation
Retinal blood vessels are considered to be the reliable diagnostic biomarkers of ophthalmologic and diabetic retinopathy.
A Multi-cascaded Deep Model for Bilingual SMS Classification
Our model achieves high accuracy for classification on this dataset and outperforms the previous model for multilingual text classification, highlighting language independence of McM.
