Social media platforms have become a substratum for people to enunciate their opinions
and ideas across the globe. Due to anonymity preservation and freedom of expression, it is …

Background Work circumstances can substantially negatively impact health. To explore this,
large occupational cohorts of free-text job descriptions are manually coded and linked to …

Sentiment analysis aims to extract emotions from textual data; with the proliferation of
various social media platforms and the flow of data, particularly in the Arabic language …

Abstract Domain-specific knowledge can significantly contribute to addressing a wide variety
of vision tasks. However, the generation of such knowledge entails considerable human …

This article presents results from a study that developed and tested a word embedding
trained on a dataset of South African news articles. A word embedding is an algorithm …

This paper presents a spell checker and correction tool specifically designed for Wolof, an
under-represented spoken language in Africa. The proposed spell checker leverages a …

Extracting knowledge from text data is a complex task that is usually performed by first
structuring the texts and then applying machine learning algorithms, or by using specific …

In recent years, there has been significant research interest in the subtask of natural
language processing called semantic textual similarity. Measuring semantic similarity …

Accurate classification of dental caries is crucial for effective oral healthcare. Filters help to
increase exposure of the picture taken for the investigation without degrading image quality …

Sentiment analysis of Moroccan diabetic based on social media (ex. Twitter) discussions
give coaches necessary knowledge to understand deeply the life style of diabetic people so …